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Single-image night haze removal based on color channel transfer and estimation of spatial variation in atmospheric light
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作者 Shu-yun Liu Qun Hao +6 位作者 Yu-tong Zhang Feng Gao Hai-ping Song Yu-tong Jiang ying-sheng wang Xiao-ying Cui Kun Gao 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2023年第7期134-151,共18页
The visible-light imaging system used in military equipment is often subjected to severe weather conditions, such as fog, haze, and smoke, under complex lighting conditions at night that significantly degrade the acqu... The visible-light imaging system used in military equipment is often subjected to severe weather conditions, such as fog, haze, and smoke, under complex lighting conditions at night that significantly degrade the acquired images. Currently available image defogging methods are mostly suitable for environments with natural light in the daytime, but the clarity of images captured under complex lighting conditions and spatial changes in the presence of fog at night is not satisfactory. This study proposes an algorithm to remove night fog from single images based on an analysis of the statistical characteristics of images in scenes involving night fog. Color channel transfer is designed to compensate for the high attenuation channel of foggy images acquired at night. The distribution of transmittance is estimated by the deep convolutional network DehazeNet, and the spatial variation of atmospheric light is estimated in a point-by-point manner according to the maximum reflection prior to recover the clear image. The results of experiments show that the proposed method can compensate for the high attenuation channel of foggy images at night, remove the effect of glow from a multi-color and non-uniform ambient source of light, and improve the adaptability and visual effect of the removal of night fog from images compared with the conventional method. 展开更多
关键词 Dehazing image captured at night Chromaticity fusion correction Color channel transfer Spatial change-based atmospheric light ESTIMATION DehazeNet
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Application of wellhead suction anchor technology in the second production test of natural gas hydrates in the South China Sea 被引量:2
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作者 Bo Li Bei-bei Kou +7 位作者 Bin Li Jing Li Jing Zeng Qing-lei Niu Yu-tao Shao Ke-wei Zhang Hao-yu Yu ying-sheng wang 《China Geology》 2022年第2期293-299,共7页
Traditional suction anchor technology is mainly used in the fields of subsea structure bearing foundations,single-point mooring systems and offshore wind power.It is characterized by providing sufficient lateral and v... Traditional suction anchor technology is mainly used in the fields of subsea structure bearing foundations,single-point mooring systems and offshore wind power.It is characterized by providing sufficient lateral and vertical bearing capacities and lateral bending moment.The anchor structure of a traditional suction anchor structure is improved with wellhead suction anchor technology,where a central pipe is added as a channel for drilling and completion operations.To solve the technical problems of a low wellhead bearing capacity,shallow built-up depth,and limited application of conductor jetting in the second production test of natural gas hydrates(NGHs)in the South China Sea(SCS),the China Geological Survey(CGS)took the lead in independently designing and manufacturing a wellhead suction anchor,which fulfilled the requirements of the production test.This novel anchor was successfully implemented in the second production test for the first time,providing a stable wellhead foundation for the success of the second production test of NGHs in the SCS. 展开更多
关键词 Wellhead suction anchor Conductor jetting Marine NGHs Production test NGHs exploration trial engineering Oil and gas exploration engineering South China Sea
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