The national image is a comprehensive concept with a distinct political feature,including the international image presented to the outside world,and also encompassing the national identity of the people.With the devel...The national image is a comprehensive concept with a distinct political feature,including the international image presented to the outside world,and also encompassing the national identity of the people.With the development of globalization,international cultural communication has become a crucial part of shaping the national image,and the opening ceremony of the Beijing Winter Olympics has become an important opportunity for China to showcase its national image to the world in the post-pandemic era.Based on Forceville’s multimodal metaphor theory,this paper examines the metaphorical phenomena contained in the performance and their functions,effects,and purposes in the construction of the national image.It is found that there are many scenes,images,and narratives in the opening ceremony,including war metaphor,competition metaphor,personification metaphor,and other conceptual metaphors.The focus of this paper is on multimodal metaphor in a broad sense,mainly encompassing auditory and visual modes.Through the use of these multimodal metaphors,the opening ceremony of the Winter Olympics builds an image of a vibrant,peace-loving,and responsible country,which not only demonstrates China’s cultural self-confidence,but also expresses the Chinese people’s beautiful vision for the early reunification of the motherland.展开更多
National image is an important component of national interests and a key indicator of a country's comprehensive strength. National image is also an integral part of a country's foreign strategy. With further p...National image is an important component of national interests and a key indicator of a country's comprehensive strength. National image is also an integral part of a country's foreign strategy. With further promotion of the going global strategy, Chinese overseas enterprises have become important participants in globalization and thus major actors shaping China's national image. However, several overseas enterprises have adversely affected China's national image due to lack of cooperation, lack of legal concepts, lack of environmental awareness, ignorance of social responsibility and cultural differences. To this end, the Chinese government should focus on raising awareness among overseas enterprises about national image, establishing a clear mechanism for the entry and exit of overseas enterprises, fostering publicity among overseas enterprises, strengthening the guidance of overseas enterprises in performing their duties, and guiding Chinese overseas enterprises to actively and effectively shape a responsible national image.展开更多
Early on the morning of August 15, 2006, which was the 61st anniversary of Japan’s surrender in the Second World War, Junichiro Koizumi dressed himself up in a formal tuxedo jacket with coattails and paid his sixth a...Early on the morning of August 15, 2006, which was the 61st anniversary of Japan’s surrender in the Second World War, Junichiro Koizumi dressed himself up in a formal tuxedo jacket with coattails and paid his sixth and also the last visit to the Yasukuni Shrine in his official capacity as Japan’s prime minister. Koizumi’s deliberate action taken amidst the strong protests from people both in and outside Japan has展开更多
In the 21st century, soft power has become an important element to evaluate a nation’s comprehensive strength. Meanwhile, as an indispensable part of soft power, national image receives more and more attention on the...In the 21st century, soft power has become an important element to evaluate a nation’s comprehensive strength. Meanwhile, as an indispensable part of soft power, national image receives more and more attention on the political stage. Since Chinese President Xi Jinping’s speeches have unique features and greatly reflect positive national images of China, many scholars start to analyze them from diversified perspectives. Based on Du Bois’ theory of “the Stance Triangle” and the Indexicality Principle, taking President Xi Jinping’s speech at the opening ceremony of the Belt and Road Forum for International Cooperation for example, this paper expounds how President Xi achieves the evaluation, position, and alignment between the subject and object by means of overt labeling, implicature and presupposition, covert evaluation statement, and ideology-laden linguistic structure, in order to establish China’s national image. Through the analysis, the author intends to figure out how national leaders use various persuasive methods to achieve their political purpose. And the author hopes this thesis can provide a new perspective for further analysis on national leaders’ speeches.展开更多
In recent years, a rapid growth of the global economy has strengthened the competition among nations. To be at a favorable international advantage under such an environment, a positive national image is necessary. As ...In recent years, a rapid growth of the global economy has strengthened the competition among nations. To be at a favorable international advantage under such an environment, a positive national image is necessary. As a result, this paper analyzes the application of Tai Chi cultural semiotic symbols in Chinese construction of national image under the discussion on the selection of culture symbol in Chinese construction of national image, as a base, through its positioning with an introduction of Tai Chi - Chinese unique culture symbol. Finally, this paper explains the application tactics in Chinese construction of national image by Tai Chi culture symbol, laying a good foundation for the improvement of Chinese international status.展开更多
Along with the advent of the age of globalization, our country and international community are becoming more closely, and comprehensive national strength and infl uence is also greatly growing. Strengthening external ...Along with the advent of the age of globalization, our country and international community are becoming more closely, and comprehensive national strength and infl uence is also greatly growing. Strengthening external propaganda has become a strategic task in the current development of our country. The translation work has been paid more and more attention, and it has an important role in shaping the image of our country. But from the current point of view, there are still some common problems. In this paper, from the perspective of the national image, we analyze the relationship between foreign publicity translation strategies and national image, and we also analyze the status quo of the translation of foreign propaganda in China, then we put forward the strategy of publicity translation.展开更多
Western travel writings about China provided material driving and theoretical guidance for the Age of Discovery, and became the main spiritual motive of the Westerners voyage to the East. In the Age of Discovery, the ...Western travel writings about China provided material driving and theoretical guidance for the Age of Discovery, and became the main spiritual motive of the Westerners voyage to the East. In the Age of Discovery, the image of China in the eyes of Western envoys, merchants and missionaries begun to fade away from traditional mythological and psychedelic colors, and the image of cultural elements such as material, spirit and history become clear. These Western travelers tried to shape the image of China as a state of civilization and wisdom, a state of moral order, and a state of wealth and power. On the basis of the continued description of the kingship and wealth of the Middle Ages, they constructed an overall image of China as a powerful state of civilization and wealth, thus forming a new frame of reference for cognition of China.展开更多
National security faces the challenge of the "cross- national- sovereignty-management"model and the"commons"mode. Based on hypothesis,cross- regional security net is formed. As for China,it attache...National security faces the challenge of the "cross- national- sovereignty-management"model and the"commons"mode. Based on hypothesis,cross- regional security net is formed. As for China,it attaches importance to sovereign states and nations,pursuing the relatively stable evaluation of the international community. And based on the national memory and national communication,the state security awareness provides possibility for surpassing the so- called universal value of the West.展开更多
The cognition of the image of China in the West during the Middle Ages is a historical base map for the formation of China's image in the eyes of Western travelers in China since the 19 th century. During the Midd...The cognition of the image of China in the West during the Middle Ages is a historical base map for the formation of China's image in the eyes of Western travelers in China since the 19 th century. During the Middle Ages, with the Crusades and the Eastward March of the Mongol Empire, the exchanges between China and Europe were frequent. For political and religious purposes, Western missionaries gradually increased in China. From the expansion of the concept of time and space, Western travelers came to China to explore the world outside the Mediterranean. For the needs of literary creation, Western writers began to write Chinese travels while traveling to China. The texts about China's images created by missionaries, travelers and writers are intertwined, depicting a vivid China's national image.展开更多
By analyzing China's national image in the eyes of European missionaries, philosophers, and writers during the Enlightenment, it was concluded that in the 18 ^(th) century, Europe's understanding of China cove...By analyzing China's national image in the eyes of European missionaries, philosophers, and writers during the Enlightenment, it was concluded that in the 18 ^(th) century, Europe's understanding of China covered the fields of matter, system, and culture, and Western countries have placed their political expectations on China.展开更多
The Soft X-ray Imager(SXI)is part of the scientific payload of the Solar wind Magnetosphere Ionosphere Link Explorer(SMILE)mission.SMILE is a joint science mission between the European Space Agency(ESA)and the Chinese...The Soft X-ray Imager(SXI)is part of the scientific payload of the Solar wind Magnetosphere Ionosphere Link Explorer(SMILE)mission.SMILE is a joint science mission between the European Space Agency(ESA)and the Chinese Academy of Sciences(CAS)and is due for launch in 2025.SXI is a compact X-ray telescope with a wide field-of-view(FOV)capable of encompassing large portions of Earth’s magnetosphere from the vantage point of the SMILE orbit.SXI is sensitive to the soft X-rays produced by the Solar Wind Charge eXchange(SWCX)process produced when heavy ions of solar wind origin interact with neutral particles in Earth’s exosphere.SWCX provides a mechanism for boundary detection within the magnetosphere,such as the position of Earth’s magnetopause,because the solar wind heavy ions have a very low density in regions of closed magnetic field lines.The sensitivity of the SXI is such that it can potentially track movements of the magnetopause on timescales of a few minutes and the orbit of SMILE will enable such movements to be tracked for segments lasting many hours.SXI is led by the University of Leicester in the United Kingdom(UK)with collaborating organisations on hardware,software and science support within the UK,Europe,China and the United States.展开更多
Global images of auroras obtained by cameras on spacecraft are a key tool for studying the near-Earth environment.However,the cameras are sensitive not only to auroral emissions produced by precipitating particles,but...Global images of auroras obtained by cameras on spacecraft are a key tool for studying the near-Earth environment.However,the cameras are sensitive not only to auroral emissions produced by precipitating particles,but also to dayglow emissions produced by photoelectrons induced by sunlight.Nightglow emissions and scattered sunlight can contribute to the background signal.To fully utilize such images in space science,background contamination must be removed to isolate the auroral signal.Here we outline a data-driven approach to modeling the background intensity in multiple images by formulating linear inverse problems based on B-splines and spherical harmonics.The approach is robust,flexible,and iteratively deselects outliers,such as auroral emissions.The final model is smooth across the terminator and accounts for slow temporal variations and large-scale asymmetries in the dayglow.We demonstrate the model by using the three far ultraviolet cameras on the Imager for Magnetopause-to-Aurora Global Exploration(IMAGE)mission.The method can be applied to historical missions and is relevant for upcoming missions,such as the Solar wind Magnetosphere Ionosphere Link Explorer(SMILE)mission.展开更多
Astronomical imaging technologies are basic tools for the exploration of the universe,providing basic data for the research of astronomy and space physics.The Soft X-ray Imager(SXI)carried by the Solar wind Magnetosph...Astronomical imaging technologies are basic tools for the exploration of the universe,providing basic data for the research of astronomy and space physics.The Soft X-ray Imager(SXI)carried by the Solar wind Magnetosphere Ionosphere Link Explorer(SMILE)aims to capture two-dimensional(2-D)images of the Earth’s magnetosheath by using soft X-ray imaging.However,the observed 2-D images are affected by many noise factors,destroying the contained information,which is not conducive to the subsequent reconstruction of the three-dimensional(3-D)structure of the magnetopause.The analysis of SXI-simulated observation images shows that such damage cannot be evaluated with traditional restoration models.This makes it difficult to establish the mapping relationship between SXIsimulated observation images and target images by using mathematical models.We propose an image restoration algorithm for SXIsimulated observation images that can recover large-scale structure information on the magnetosphere.The idea is to train a patch estimator by selecting noise–clean patch pairs with the same distribution through the Classification–Expectation Maximization algorithm to achieve the restoration estimation of the SXI-simulated observation image,whose mapping relationship with the target image is established by the patch estimator.The Classification–Expectation Maximization algorithm is used to select multiple patch clusters with the same distribution and then train different patch estimators so as to improve the accuracy of the estimator.Experimental results showed that our image restoration algorithm is superior to other classical image restoration algorithms in the SXI-simulated observation image restoration task,according to the peak signal-to-noise ratio and structural similarity.The restoration results of SXI-simulated observation images are used in the tangent fitting approach and the computed tomography approach toward magnetospheric reconstruction techniques,significantly improving the reconstruction results.Hence,the proposed technology may be feasible for processing SXI-simulated observation images.展开更多
Throughout the SMILE mission the satellite will be bombarded by radiation which gradually damages the focal plane devices and degrades their performance.In order to understand the changes of the CCD370s within the sof...Throughout the SMILE mission the satellite will be bombarded by radiation which gradually damages the focal plane devices and degrades their performance.In order to understand the changes of the CCD370s within the soft X-ray Imager,an initial characterisation of the devices has been carried out to give a baseline performance level.Three CCDs have been characterised,the two flight devices and the flight spa re.This has been carried out at the Open University in a bespo ke cleanroom measure ment facility.The results show that there is a cluster of bright pixels in the flight spa re which increases in size with tempe rature.However at the nominal ope rating tempe rature(-120℃) it is within the procure ment specifications.Overall,the devices meet the specifications when ope rating at -120℃ in 6 × 6 binned frame transfer science mode.The se rial charge transfer inefficiency degrades with temperature in full frame mode.However any charge losses are recovered when binning/frame transfer is implemented.展开更多
With the advent of the information security era,it is necessary to guarantee the privacy,accuracy,and dependable transfer of pictures.This study presents a new approach to the encryption and compression of color image...With the advent of the information security era,it is necessary to guarantee the privacy,accuracy,and dependable transfer of pictures.This study presents a new approach to the encryption and compression of color images.It is predicated on 2D compressed sensing(CS)and the hyperchaotic system.First,an optimized Arnold scrambling algorithm is applied to the initial color images to ensure strong security.Then,the processed images are con-currently encrypted and compressed using 2D CS.Among them,chaotic sequences replace traditional random measurement matrices to increase the system’s security.Third,the processed images are re-encrypted using a combination of permutation and diffusion algorithms.In addition,the 2D projected gradient with an embedding decryption(2DPG-ED)algorithm is used to reconstruct images.Compared with the traditional reconstruction algorithm,the 2DPG-ED algorithm can improve security and reduce computational complexity.Furthermore,it has better robustness.The experimental outcome and the performance analysis indicate that this algorithm can withstand malicious attacks and prove the method is effective.展开更多
Recently,there has been a notable surge of interest in scientific research regarding spectral images.The potential of these images to revolutionize the digital photography industry,like aerial photography through Unma...Recently,there has been a notable surge of interest in scientific research regarding spectral images.The potential of these images to revolutionize the digital photography industry,like aerial photography through Unmanned Aerial Vehicles(UAVs),has captured considerable attention.One encouraging aspect is their combination with machine learning and deep learning algorithms,which have demonstrated remarkable outcomes in image classification.As a result of this powerful amalgamation,the adoption of spectral images has experienced exponential growth across various domains,with agriculture being one of the prominent beneficiaries.This paper presents an extensive survey encompassing multispectral and hyperspectral images,focusing on their applications for classification challenges in diverse agricultural areas,including plants,grains,fruits,and vegetables.By meticulously examining primary studies,we delve into the specific agricultural domains where multispectral and hyperspectral images have found practical use.Additionally,our attention is directed towards utilizing machine learning techniques for effectively classifying hyperspectral images within the agricultural context.The findings of our investigation reveal that deep learning and support vector machines have emerged as widely employed methods for hyperspectral image classification in agriculture.Nevertheless,we also shed light on the various issues and limitations of working with spectral images.This comprehensive analysis aims to provide valuable insights into the current state of spectral imaging in agriculture and its potential for future advancements.展开更多
As a branch of quantum image processing,quantum image scaling has been widely studied.However,most of the existing quantum image scaling algorithms are based on nearest-neighbor interpolation and bilinear interpolatio...As a branch of quantum image processing,quantum image scaling has been widely studied.However,most of the existing quantum image scaling algorithms are based on nearest-neighbor interpolation and bilinear interpolation,the quantum version of bicubic interpolation has not yet been studied.In this work,we present the first quantum image scaling scheme for bicubic interpolation based on the novel enhanced quantum representation(NEQR).Our scheme can realize synchronous enlargement and reduction of the image with the size of 2^(n)×2^(n) by integral multiple.Firstly,the image is represented by NEQR and the original image coordinates are obtained through multiple CNOT modules.Then,16 neighborhood pixels are obtained by quantum operation circuits,and the corresponding weights of these pixels are calculated by quantum arithmetic modules.Finally,a quantum matrix operation,instead of a classical convolution operation,is used to realize the sum of convolution of these pixels.Through simulation experiments and complexity analysis,we demonstrate that our scheme achieves exponential speedup over the classical bicubic interpolation algorithm,and has better effect than the quantum version of bilinear interpolation.展开更多
Dear Editor,This letter proposes to integrate dendritic learnable network architecture with Vision Transformer to improve the accuracy of image recognition.In this study,based on the theory of dendritic neurons in neu...Dear Editor,This letter proposes to integrate dendritic learnable network architecture with Vision Transformer to improve the accuracy of image recognition.In this study,based on the theory of dendritic neurons in neuroscience,we design a network that is more practical for engineering to classify visual features.Based on this,we propose a dendritic learning-incorporated vision Transformer(DVT),which out-performs other state-of-the-art methods on three image recognition benchmarks.展开更多
Due to the selective absorption of light and the existence of a large number of floating media in sea water, underwater images often suffer from color casts and detail blurs. It is therefore necessary to perform color...Due to the selective absorption of light and the existence of a large number of floating media in sea water, underwater images often suffer from color casts and detail blurs. It is therefore necessary to perform color correction and detail restoration. However,the existing enhancement algorithms cannot achieve the desired results. In order to solve the above problems, this paper proposes a multi-stream feature fusion network. First, an underwater image is preprocessed to obtain potential information from the illumination stream, color stream and structure stream by histogram equalization with contrast limitation, gamma correction and white balance, respectively. Next, these three streams and the original raw stream are sent to the residual blocks to extract the features. The features will be subsequently fused. It can enhance feature representation in underwater images. In the meantime, a composite loss function including three terms is used to ensure the quality of the enhanced image from the three aspects of color balance, structure preservation and image smoothness. Therefore, the enhanced image is more in line with human visual perception.Finally, the effectiveness of the proposed method is verified by comparison experiments with many stateof-the-art underwater image enhancement algorithms. Experimental results show that the proposed method provides superior results over them in terms of MSE,PSNR, SSIM, UIQM and UCIQE, and the enhanced images are more similar to their ground truth images.展开更多
文摘The national image is a comprehensive concept with a distinct political feature,including the international image presented to the outside world,and also encompassing the national identity of the people.With the development of globalization,international cultural communication has become a crucial part of shaping the national image,and the opening ceremony of the Beijing Winter Olympics has become an important opportunity for China to showcase its national image to the world in the post-pandemic era.Based on Forceville’s multimodal metaphor theory,this paper examines the metaphorical phenomena contained in the performance and their functions,effects,and purposes in the construction of the national image.It is found that there are many scenes,images,and narratives in the opening ceremony,including war metaphor,competition metaphor,personification metaphor,and other conceptual metaphors.The focus of this paper is on multimodal metaphor in a broad sense,mainly encompassing auditory and visual modes.Through the use of these multimodal metaphors,the opening ceremony of the Winter Olympics builds an image of a vibrant,peace-loving,and responsible country,which not only demonstrates China’s cultural self-confidence,but also expresses the Chinese people’s beautiful vision for the early reunification of the motherland.
文摘National image is an important component of national interests and a key indicator of a country's comprehensive strength. National image is also an integral part of a country's foreign strategy. With further promotion of the going global strategy, Chinese overseas enterprises have become important participants in globalization and thus major actors shaping China's national image. However, several overseas enterprises have adversely affected China's national image due to lack of cooperation, lack of legal concepts, lack of environmental awareness, ignorance of social responsibility and cultural differences. To this end, the Chinese government should focus on raising awareness among overseas enterprises about national image, establishing a clear mechanism for the entry and exit of overseas enterprises, fostering publicity among overseas enterprises, strengthening the guidance of overseas enterprises in performing their duties, and guiding Chinese overseas enterprises to actively and effectively shape a responsible national image.
文摘Early on the morning of August 15, 2006, which was the 61st anniversary of Japan’s surrender in the Second World War, Junichiro Koizumi dressed himself up in a formal tuxedo jacket with coattails and paid his sixth and also the last visit to the Yasukuni Shrine in his official capacity as Japan’s prime minister. Koizumi’s deliberate action taken amidst the strong protests from people both in and outside Japan has
文摘In the 21st century, soft power has become an important element to evaluate a nation’s comprehensive strength. Meanwhile, as an indispensable part of soft power, national image receives more and more attention on the political stage. Since Chinese President Xi Jinping’s speeches have unique features and greatly reflect positive national images of China, many scholars start to analyze them from diversified perspectives. Based on Du Bois’ theory of “the Stance Triangle” and the Indexicality Principle, taking President Xi Jinping’s speech at the opening ceremony of the Belt and Road Forum for International Cooperation for example, this paper expounds how President Xi achieves the evaluation, position, and alignment between the subject and object by means of overt labeling, implicature and presupposition, covert evaluation statement, and ideology-laden linguistic structure, in order to establish China’s national image. Through the analysis, the author intends to figure out how national leaders use various persuasive methods to achieve their political purpose. And the author hopes this thesis can provide a new perspective for further analysis on national leaders’ speeches.
文摘In recent years, a rapid growth of the global economy has strengthened the competition among nations. To be at a favorable international advantage under such an environment, a positive national image is necessary. As a result, this paper analyzes the application of Tai Chi cultural semiotic symbols in Chinese construction of national image under the discussion on the selection of culture symbol in Chinese construction of national image, as a base, through its positioning with an introduction of Tai Chi - Chinese unique culture symbol. Finally, this paper explains the application tactics in Chinese construction of national image by Tai Chi culture symbol, laying a good foundation for the improvement of Chinese international status.
文摘Along with the advent of the age of globalization, our country and international community are becoming more closely, and comprehensive national strength and infl uence is also greatly growing. Strengthening external propaganda has become a strategic task in the current development of our country. The translation work has been paid more and more attention, and it has an important role in shaping the image of our country. But from the current point of view, there are still some common problems. In this paper, from the perspective of the national image, we analyze the relationship between foreign publicity translation strategies and national image, and we also analyze the status quo of the translation of foreign propaganda in China, then we put forward the strategy of publicity translation.
基金Sponsored by “Twelfth Five-year Plan” Program of Guangdong Provincial Philosophy and Social Sciences(GD15XLS07)
文摘Western travel writings about China provided material driving and theoretical guidance for the Age of Discovery, and became the main spiritual motive of the Westerners voyage to the East. In the Age of Discovery, the image of China in the eyes of Western envoys, merchants and missionaries begun to fade away from traditional mythological and psychedelic colors, and the image of cultural elements such as material, spirit and history become clear. These Western travelers tried to shape the image of China as a state of civilization and wisdom, a state of moral order, and a state of wealth and power. On the basis of the continued description of the kingship and wealth of the Middle Ages, they constructed an overall image of China as a powerful state of civilization and wealth, thus forming a new frame of reference for cognition of China.
文摘National security faces the challenge of the "cross- national- sovereignty-management"model and the"commons"mode. Based on hypothesis,cross- regional security net is formed. As for China,it attaches importance to sovereign states and nations,pursuing the relatively stable evaluation of the international community. And based on the national memory and national communication,the state security awareness provides possibility for surpassing the so- called universal value of the West.
基金Sponsored by "Twelfth Five-year Plan" Program of Guangdong Provincial Philosophy and Social Sciences(GD15XLS07)
文摘The cognition of the image of China in the West during the Middle Ages is a historical base map for the formation of China's image in the eyes of Western travelers in China since the 19 th century. During the Middle Ages, with the Crusades and the Eastward March of the Mongol Empire, the exchanges between China and Europe were frequent. For political and religious purposes, Western missionaries gradually increased in China. From the expansion of the concept of time and space, Western travelers came to China to explore the world outside the Mediterranean. For the needs of literary creation, Western writers began to write Chinese travels while traveling to China. The texts about China's images created by missionaries, travelers and writers are intertwined, depicting a vivid China's national image.
基金Sponsored by "Twelfth Five-year Plan" Program of Guangdong Provincial Philosophy and Social Sciences(GD15XLS07)
文摘By analyzing China's national image in the eyes of European missionaries, philosophers, and writers during the Enlightenment, it was concluded that in the 18 ^(th) century, Europe's understanding of China covered the fields of matter, system, and culture, and Western countries have placed their political expectations on China.
基金funding and support from the United Kingdom Space Agency(UKSA)the European Space Agency(ESA)+5 种基金funded and supported through the ESA PRODEX schemefunded through PRODEX PEA 4000123238the Research Council of Norway grant 223252funded by Spanish MCIN/AEI/10.13039/501100011033 grant PID2019-107061GB-C61funding and support from the Chinese Academy of Sciences(CAS)funding and support from the National Aeronautics and Space Administration(NASA)。
文摘The Soft X-ray Imager(SXI)is part of the scientific payload of the Solar wind Magnetosphere Ionosphere Link Explorer(SMILE)mission.SMILE is a joint science mission between the European Space Agency(ESA)and the Chinese Academy of Sciences(CAS)and is due for launch in 2025.SXI is a compact X-ray telescope with a wide field-of-view(FOV)capable of encompassing large portions of Earth’s magnetosphere from the vantage point of the SMILE orbit.SXI is sensitive to the soft X-rays produced by the Solar Wind Charge eXchange(SWCX)process produced when heavy ions of solar wind origin interact with neutral particles in Earth’s exosphere.SWCX provides a mechanism for boundary detection within the magnetosphere,such as the position of Earth’s magnetopause,because the solar wind heavy ions have a very low density in regions of closed magnetic field lines.The sensitivity of the SXI is such that it can potentially track movements of the magnetopause on timescales of a few minutes and the orbit of SMILE will enable such movements to be tracked for segments lasting many hours.SXI is led by the University of Leicester in the United Kingdom(UK)with collaborating organisations on hardware,software and science support within the UK,Europe,China and the United States.
基金supported by the Research Council of Norway under contracts 223252/F50 and 300844/F50the Trond Mohn Foundation。
文摘Global images of auroras obtained by cameras on spacecraft are a key tool for studying the near-Earth environment.However,the cameras are sensitive not only to auroral emissions produced by precipitating particles,but also to dayglow emissions produced by photoelectrons induced by sunlight.Nightglow emissions and scattered sunlight can contribute to the background signal.To fully utilize such images in space science,background contamination must be removed to isolate the auroral signal.Here we outline a data-driven approach to modeling the background intensity in multiple images by formulating linear inverse problems based on B-splines and spherical harmonics.The approach is robust,flexible,and iteratively deselects outliers,such as auroral emissions.The final model is smooth across the terminator and accounts for slow temporal variations and large-scale asymmetries in the dayglow.We demonstrate the model by using the three far ultraviolet cameras on the Imager for Magnetopause-to-Aurora Global Exploration(IMAGE)mission.The method can be applied to historical missions and is relevant for upcoming missions,such as the Solar wind Magnetosphere Ionosphere Link Explorer(SMILE)mission.
基金supported by the National Natural Science Foundation of China(Grant Nos.42322408,42188101,41974211,and 42074202)the Key Research Program of Frontier Sciences,Chinese Academy of Sciences(Grant No.QYZDJ-SSW-JSC028)+1 种基金the Strategic Priority Program on Space Science,Chinese Academy of Sciences(Grant Nos.XDA15052500,XDA15350201,and XDA15014800)supported by the Youth Innovation Promotion Association of the Chinese Academy of Sciences(Grant No.Y202045)。
文摘Astronomical imaging technologies are basic tools for the exploration of the universe,providing basic data for the research of astronomy and space physics.The Soft X-ray Imager(SXI)carried by the Solar wind Magnetosphere Ionosphere Link Explorer(SMILE)aims to capture two-dimensional(2-D)images of the Earth’s magnetosheath by using soft X-ray imaging.However,the observed 2-D images are affected by many noise factors,destroying the contained information,which is not conducive to the subsequent reconstruction of the three-dimensional(3-D)structure of the magnetopause.The analysis of SXI-simulated observation images shows that such damage cannot be evaluated with traditional restoration models.This makes it difficult to establish the mapping relationship between SXIsimulated observation images and target images by using mathematical models.We propose an image restoration algorithm for SXIsimulated observation images that can recover large-scale structure information on the magnetosphere.The idea is to train a patch estimator by selecting noise–clean patch pairs with the same distribution through the Classification–Expectation Maximization algorithm to achieve the restoration estimation of the SXI-simulated observation image,whose mapping relationship with the target image is established by the patch estimator.The Classification–Expectation Maximization algorithm is used to select multiple patch clusters with the same distribution and then train different patch estimators so as to improve the accuracy of the estimator.Experimental results showed that our image restoration algorithm is superior to other classical image restoration algorithms in the SXI-simulated observation image restoration task,according to the peak signal-to-noise ratio and structural similarity.The restoration results of SXI-simulated observation images are used in the tangent fitting approach and the computed tomography approach toward magnetospheric reconstruction techniques,significantly improving the reconstruction results.Hence,the proposed technology may be feasible for processing SXI-simulated observation images.
文摘Throughout the SMILE mission the satellite will be bombarded by radiation which gradually damages the focal plane devices and degrades their performance.In order to understand the changes of the CCD370s within the soft X-ray Imager,an initial characterisation of the devices has been carried out to give a baseline performance level.Three CCDs have been characterised,the two flight devices and the flight spa re.This has been carried out at the Open University in a bespo ke cleanroom measure ment facility.The results show that there is a cluster of bright pixels in the flight spa re which increases in size with tempe rature.However at the nominal ope rating tempe rature(-120℃) it is within the procure ment specifications.Overall,the devices meet the specifications when ope rating at -120℃ in 6 × 6 binned frame transfer science mode.The se rial charge transfer inefficiency degrades with temperature in full frame mode.However any charge losses are recovered when binning/frame transfer is implemented.
基金This work was supported in part by the National Natural Science Foundation of China under Grants 71571091,71771112the State Key Laboratory of Synthetical Automation for Process Industries Fundamental Research Funds under Grant PAL-N201801the Excellent Talent Training Project of University of Science and Technology Liaoning under Grant 2019RC05.
文摘With the advent of the information security era,it is necessary to guarantee the privacy,accuracy,and dependable transfer of pictures.This study presents a new approach to the encryption and compression of color images.It is predicated on 2D compressed sensing(CS)and the hyperchaotic system.First,an optimized Arnold scrambling algorithm is applied to the initial color images to ensure strong security.Then,the processed images are con-currently encrypted and compressed using 2D CS.Among them,chaotic sequences replace traditional random measurement matrices to increase the system’s security.Third,the processed images are re-encrypted using a combination of permutation and diffusion algorithms.In addition,the 2D projected gradient with an embedding decryption(2DPG-ED)algorithm is used to reconstruct images.Compared with the traditional reconstruction algorithm,the 2DPG-ED algorithm can improve security and reduce computational complexity.Furthermore,it has better robustness.The experimental outcome and the performance analysis indicate that this algorithm can withstand malicious attacks and prove the method is effective.
文摘Recently,there has been a notable surge of interest in scientific research regarding spectral images.The potential of these images to revolutionize the digital photography industry,like aerial photography through Unmanned Aerial Vehicles(UAVs),has captured considerable attention.One encouraging aspect is their combination with machine learning and deep learning algorithms,which have demonstrated remarkable outcomes in image classification.As a result of this powerful amalgamation,the adoption of spectral images has experienced exponential growth across various domains,with agriculture being one of the prominent beneficiaries.This paper presents an extensive survey encompassing multispectral and hyperspectral images,focusing on their applications for classification challenges in diverse agricultural areas,including plants,grains,fruits,and vegetables.By meticulously examining primary studies,we delve into the specific agricultural domains where multispectral and hyperspectral images have found practical use.Additionally,our attention is directed towards utilizing machine learning techniques for effectively classifying hyperspectral images within the agricultural context.The findings of our investigation reveal that deep learning and support vector machines have emerged as widely employed methods for hyperspectral image classification in agriculture.Nevertheless,we also shed light on the various issues and limitations of working with spectral images.This comprehensive analysis aims to provide valuable insights into the current state of spectral imaging in agriculture and its potential for future advancements.
基金Project supported by the Scientific Research Fund of Hunan Provincial Education Department,China (Grant No.21A0470)the Natural Science Foundation of Hunan Province,China (Grant No.2023JJ50268)+1 种基金the National Natural Science Foundation of China (Grant Nos.62172268 and 62302289)the Shanghai Science and Technology Project,China (Grant Nos.21JC1402800 and 23YF1416200)。
文摘As a branch of quantum image processing,quantum image scaling has been widely studied.However,most of the existing quantum image scaling algorithms are based on nearest-neighbor interpolation and bilinear interpolation,the quantum version of bicubic interpolation has not yet been studied.In this work,we present the first quantum image scaling scheme for bicubic interpolation based on the novel enhanced quantum representation(NEQR).Our scheme can realize synchronous enlargement and reduction of the image with the size of 2^(n)×2^(n) by integral multiple.Firstly,the image is represented by NEQR and the original image coordinates are obtained through multiple CNOT modules.Then,16 neighborhood pixels are obtained by quantum operation circuits,and the corresponding weights of these pixels are calculated by quantum arithmetic modules.Finally,a quantum matrix operation,instead of a classical convolution operation,is used to realize the sum of convolution of these pixels.Through simulation experiments and complexity analysis,we demonstrate that our scheme achieves exponential speedup over the classical bicubic interpolation algorithm,and has better effect than the quantum version of bilinear interpolation.
基金partially supported by the Japan Society for the Promotion of Science(JSPS)KAKENHI(JP22H03643)Japan Science and Technology Agency(JST)Support for Pioneering Research Initiated by the Next Generation(SPRING)(JPMJSP2145)JST through the Establishment of University Fellowships towards the Creation of Science Technology Innovation(JPMJFS2115)。
文摘Dear Editor,This letter proposes to integrate dendritic learnable network architecture with Vision Transformer to improve the accuracy of image recognition.In this study,based on the theory of dendritic neurons in neuroscience,we design a network that is more practical for engineering to classify visual features.Based on this,we propose a dendritic learning-incorporated vision Transformer(DVT),which out-performs other state-of-the-art methods on three image recognition benchmarks.
基金supported by the national key research and development program (No.2020YFB1806608)Jiangsu natural science foundation for distinguished young scholars (No.BK20220054)。
文摘Due to the selective absorption of light and the existence of a large number of floating media in sea water, underwater images often suffer from color casts and detail blurs. It is therefore necessary to perform color correction and detail restoration. However,the existing enhancement algorithms cannot achieve the desired results. In order to solve the above problems, this paper proposes a multi-stream feature fusion network. First, an underwater image is preprocessed to obtain potential information from the illumination stream, color stream and structure stream by histogram equalization with contrast limitation, gamma correction and white balance, respectively. Next, these three streams and the original raw stream are sent to the residual blocks to extract the features. The features will be subsequently fused. It can enhance feature representation in underwater images. In the meantime, a composite loss function including three terms is used to ensure the quality of the enhanced image from the three aspects of color balance, structure preservation and image smoothness. Therefore, the enhanced image is more in line with human visual perception.Finally, the effectiveness of the proposed method is verified by comparison experiments with many stateof-the-art underwater image enhancement algorithms. Experimental results show that the proposed method provides superior results over them in terms of MSE,PSNR, SSIM, UIQM and UCIQE, and the enhanced images are more similar to their ground truth images.
