In response to the scarcity of infrared aircraft samples and the tendency of traditional deep learning to overfit,a few-shot infrared aircraft classification method based on cross-correlation networks is proposed.This...In response to the scarcity of infrared aircraft samples and the tendency of traditional deep learning to overfit,a few-shot infrared aircraft classification method based on cross-correlation networks is proposed.This method combines two core modules:a simple parameter-free self-attention and cross-attention.By analyzing the self-correlation and cross-correlation between support images and query images,it achieves effective classification of infrared aircraft under few-shot conditions.The proposed cross-correlation network integrates these two modules and is trained in an end-to-end manner.The simple parameter-free self-attention is responsible for extracting the internal structure of the image while the cross-attention can calculate the cross-correlation between images further extracting and fusing the features between images.Compared with existing few-shot infrared target classification models,this model focuses on the geometric structure and thermal texture information of infrared images by modeling the semantic relevance between the features of the support set and query set,thus better attending to the target objects.Experimental results show that this method outperforms existing infrared aircraft classification methods in various classification tasks,with the highest classification accuracy improvement exceeding 3%.In addition,ablation experiments and comparative experiments also prove the effectiveness of the method.展开更多
Detecting and tracking multiple targets simultaneously for space-based surveillance requires multiple cameras,which leads to a large system volume and weight. To address this problem, we propose a wide-field detection...Detecting and tracking multiple targets simultaneously for space-based surveillance requires multiple cameras,which leads to a large system volume and weight. To address this problem, we propose a wide-field detection and tracking system using the segmented planar imaging detector for electro-optical reconnaissance. This study realizes two operating modes by changing the working paired lenslets and corresponding waveguide arrays： a detection mode and a tracking mode. A model system was simulated and evaluated using the peak signal-to-noise ratio method. The simulation results indicate that the detection and tracking system can realize wide-field detection and narrow-field, multi-target, high-resolution tracking without moving parts.展开更多
The detection of small targets poses a significant challenge for infrared search and tracking (IRST) systems,as they must strike a delicate balance between accuracy and speed.In this paper,we propose a detection algor...The detection of small targets poses a significant challenge for infrared search and tracking (IRST) systems,as they must strike a delicate balance between accuracy and speed.In this paper,we propose a detection algorithm based on spatial attention density peaks searching (SADPS) and an adaptive window selection scheme.First,the difference-of-Gaussians (DoG) filter is introduced for preprocessing raw infrared images.Second,the image is processed by SADPS.Third,an adaptive window selection scheme is applied to obtain window templates for the target scale size.Then,the small target feature is used to enhance the target and suppress the background.Finally,the true targets are segmented through a threshold.The experimental results show that compared with the seven state-of-the-art small targets detection baseline algorithms,the proposed method not only has better detection accuracy,but also has reasonable time consumption.展开更多
In this paper,a novel method is proposed for structural damage detection and localization.The key of the proposed method is the use of the response difference transmissibility(RDT)for damage localization.The RDT is de...In this paper,a novel method is proposed for structural damage detection and localization.The key of the proposed method is the use of the response difference transmissibility(RDT)for damage localization.The RDT is defined to relate response differences of the system to be evaluated and those of the original system.The invariance properties of RDT are also investigated.Based on this,a damage indicator is proposed,and the benefits are verified by a numerical example.Finally,the proposed method is illustrated and validated by finite element simulations and experimental case studies.展开更多
To measure the global atmospheric three-dimensional distribution and change of temperature and humidity is one of the key areas in atmospheric remote sensing detection; it is also a new research and development direct...To measure the global atmospheric three-dimensional distribution and change of temperature and humidity is one of the key areas in atmospheric remote sensing detection; it is also a new research and development direction in the field of meteorological satellite application. As a main element of China second generation of geostationary meteorological satellite Fengyun 4 （FY-4）, which was launched on Dec. 11, 2016, the Geostationary Interferometric Infrared Sounder （GIIRS） is the first interferometric infrared sounder working on the international geostationary orbit. It is used for vertical atmospheric sounding and gains atmospheric temperature, humidity, and disturbances. The combination of Fourier transform spectrometer technology and infrared detectors makes GIIRS have high spectral resolution and large coverage over spatial areas. With this kind of instrument, meteoro- logical satellites can improve the capabilities for severe weather event monitoring and numerical weather prediction. Here a concise review of the GIIRS development project, including its history, missions and functions, technical design, key technologies, system integration, calibration and in-orbit operation status, etc., is presented.展开更多
The use of a computer-generated hologram（CGH） in interferometric testing provides new methods for highly accurate optical measurement.To fabricate a CGH,polygons are used to approximate the smooth CGH pattern.Becaus...The use of a computer-generated hologram（CGH） in interferometric testing provides new methods for highly accurate optical measurement.To fabricate a CGH,polygons are used to approximate the smooth CGH pattern.Because the data size supported by CGH writing machines is limited,the number of polygon vertices must be limited.Therefore,the CGH-encoding method determines the encoding accuracy.To realize a highly accurate optical measurement using CGHs,we propose a CGH-pattern-encoding method based on non-maxima suppression.A self-aligned CGH is designed to verify the accuracy.The experimental result shows that a highly accurate CGH can be fabricated using this method.展开更多
基金Supported by the National Pre-research Program during the 14th Five-Year Plan(514010405)。
文摘In response to the scarcity of infrared aircraft samples and the tendency of traditional deep learning to overfit,a few-shot infrared aircraft classification method based on cross-correlation networks is proposed.This method combines two core modules:a simple parameter-free self-attention and cross-attention.By analyzing the self-correlation and cross-correlation between support images and query images,it achieves effective classification of infrared aircraft under few-shot conditions.The proposed cross-correlation network integrates these two modules and is trained in an end-to-end manner.The simple parameter-free self-attention is responsible for extracting the internal structure of the image while the cross-attention can calculate the cross-correlation between images further extracting and fusing the features between images.Compared with existing few-shot infrared target classification models,this model focuses on the geometric structure and thermal texture information of infrared images by modeling the semantic relevance between the features of the support set and query set,thus better attending to the target objects.Experimental results show that this method outperforms existing infrared aircraft classification methods in various classification tasks,with the highest classification accuracy improvement exceeding 3%.In addition,ablation experiments and comparative experiments also prove the effectiveness of the method.
基金supported by the Foundation of Youth Innovation Promotion Association,Chinese Academy of Sciences(No.20150192)
文摘Detecting and tracking multiple targets simultaneously for space-based surveillance requires multiple cameras,which leads to a large system volume and weight. To address this problem, we propose a wide-field detection and tracking system using the segmented planar imaging detector for electro-optical reconnaissance. This study realizes two operating modes by changing the working paired lenslets and corresponding waveguide arrays： a detection mode and a tracking mode. A model system was simulated and evaluated using the peak signal-to-noise ratio method. The simulation results indicate that the detection and tracking system can realize wide-field detection and narrow-field, multi-target, high-resolution tracking without moving parts.
基金supported by the National 14th Five-Year Plan Preliminary Research Project (No.514010405-207)。
文摘The detection of small targets poses a significant challenge for infrared search and tracking (IRST) systems,as they must strike a delicate balance between accuracy and speed.In this paper,we propose a detection algorithm based on spatial attention density peaks searching (SADPS) and an adaptive window selection scheme.First,the difference-of-Gaussians (DoG) filter is introduced for preprocessing raw infrared images.Second,the image is processed by SADPS.Third,an adaptive window selection scheme is applied to obtain window templates for the target scale size.Then,the small target feature is used to enhance the target and suppress the background.Finally,the true targets are segmented through a threshold.The experimental results show that compared with the seven state-of-the-art small targets detection baseline algorithms,the proposed method not only has better detection accuracy,but also has reasonable time consumption.
基金the National Natural Science Foundation of China(Nos.12141305 and 11902191)the National Key R&D Program of China(Nos.2021YFB3901000 and 2021YFB3901004)the Strategic Priority Research Program of the Chinese Academy of Sciences(No.XDA15021003)。
文摘In this paper,a novel method is proposed for structural damage detection and localization.The key of the proposed method is the use of the response difference transmissibility(RDT)for damage localization.The RDT is defined to relate response differences of the system to be evaluated and those of the original system.The invariance properties of RDT are also investigated.Based on this,a damage indicator is proposed,and the benefits are verified by a numerical example.Finally,the proposed method is illustrated and validated by finite element simulations and experimental case studies.
基金supported by the China’s National Key Special Earth Observation and Navigation Project,Ministry of Science and Technology of China(MOST)(No.2016YFB0500600)
文摘To measure the global atmospheric three-dimensional distribution and change of temperature and humidity is one of the key areas in atmospheric remote sensing detection; it is also a new research and development direction in the field of meteorological satellite application. As a main element of China second generation of geostationary meteorological satellite Fengyun 4 （FY-4）, which was launched on Dec. 11, 2016, the Geostationary Interferometric Infrared Sounder （GIIRS） is the first interferometric infrared sounder working on the international geostationary orbit. It is used for vertical atmospheric sounding and gains atmospheric temperature, humidity, and disturbances. The combination of Fourier transform spectrometer technology and infrared detectors makes GIIRS have high spectral resolution and large coverage over spatial areas. With this kind of instrument, meteoro- logical satellites can improve the capabilities for severe weather event monitoring and numerical weather prediction. Here a concise review of the GIIRS development project, including its history, missions and functions, technical design, key technologies, system integration, calibration and in-orbit operation status, etc., is presented.
基金supported by the Foundation of Youth Innovation Promotion Association,Chinese Academy of Sciences(No.20150192)the Foundation of Innovation Program,Shanghai Institute of Technical Physics of the Chinese Academy of Sciences(No.CX-65)
文摘The use of a computer-generated hologram（CGH） in interferometric testing provides new methods for highly accurate optical measurement.To fabricate a CGH,polygons are used to approximate the smooth CGH pattern.Because the data size supported by CGH writing machines is limited,the number of polygon vertices must be limited.Therefore,the CGH-encoding method determines the encoding accuracy.To realize a highly accurate optical measurement using CGHs,we propose a CGH-pattern-encoding method based on non-maxima suppression.A self-aligned CGH is designed to verify the accuracy.The experimental result shows that a highly accurate CGH can be fabricated using this method.
