电子学报2024，Vol.52Issue(4)：1041-1082,42.DOI:10.12263/DZXB.20230698
涉水视觉
Water-Related Vision
摘要
Abstract
Approximately 71％of the Earth's surface is encompassed by aqueous elements,such as rivers,lakes,and seas.Concurrently,terrestrial imaging contends with the influence of water in the forms of clouds,snow,rain,and fog.Notwithstanding,contemporary machine vision research and application systems predominantly concentrate on visual tasks within aerial and vacuum environments,leaving a dearth of systematic investigation into visual tasks within various aquatic contexts.Water-related vision,emblematic of water-based optical technology in the realm of vision,is committed to dissect-ing the scientific intricacies of light-water interactions and their inter-medium propagation.It also entails intelligent pro-cessing and analysis of visual image signals within aquatic settings.This discipline concurrently addresses engineering and technical intricacies intrinsic to the progression of advanced,intelligent water-related vision apparatus.Embarking from the fundamentally significant scientific query,"What is the reason for the ocean's blue color?"this paper proffers an exhaustive survey encapsulating the repercussions of seawater's light absorption,scattering,and attenuation mechanisms upon under-water visual tasks.Furthermore,the current methodologies for the processing and refinement of subaquatic images are sys-tematically examined.Exploiting the optical attributes of water and factors contributing to image degradation,this manu-script underscores our team's milestones in pioneering indispensable technologies for underwater imaging and image analy-sis.Substantial headway has been achieved in devising underwater observation and analytical apparatus,encompassing the full-ocean-depth ultra-high-definition camera"Haitong,"the full-ocean-depth 3D camera,and the full-ocean-depth high-def-inition video camera.These innovations have distinctly established a comprehensive and methodical proficiency in optical detection within submerged contexts,encompassing variables of color,intensity,polarization,and spectral analysis.This collective endeavor effectively bridges the gap in China's full-ocean-depth optical detection technology,propelling the prog-ress of exploration and technological innovation within the domain of water-related vision,which offers remarkable applica-tion value and societal advantages.关键词
涉水视觉/涉水光学/多模态认知计算/机器视觉/图像视频信号处理/地外海洋Key words
water-related vision/water-related optics/multi-modal cognitive computing/machine vision/image and video signal processing/extraterrestrial oceans分类
信息技术与安全科学引用本文复制引用
李学龙..涉水视觉[J].电子学报,2024,52(4):1041-1082,42.基金项目
国家重点研发计划(No.2022YFC2808000) （No.2022YFC2808000）
国家自然科学基金(No.61871470) China National Key Research and Development Program(No.2022YFC2808000) （No.61871470）
National Natural Science Foundation of China(No.61871470) （No.61871470）
