中国光学（中英文）2024，Vol.17Issue(5)：1199-1208,10.DOI:10.37188/CO.2024-0067
信息熵-低通滤波联合掩模云层干扰去除方法
Cloud interference removal using information entropy-low-pass-filtering combined mask
李静 1李颖1
作者信息
- 1. 北京跟踪与通信技术研究所,北京 100094
- 折叠
摘要
Abstract
To mitigate the impact of clouds on sea surface texture analysis in marine remote sensing images,this paper studies the removal of cloud interference using an information entropy-low-pass-filter combined mask.Initially,we analyze the fundamental principles and limitations of the existing remote sensing image declouding algorithms,highlighting their unsuitability for applications requiring high fidelity.Subsequently,we propose a cloud interference removal technology based on information entropy-low-pass filtering com-bined mask.This technology encompasses destriping procedures with improved moment matching for re-mote sensing images,local information entropy filtering,and joint low-frequency filtering as correction para-meters for each pixel in the images.The algorithm is characterized by low complexity and high time effi-ciency.Experimental results demonstrate that,compared to existing algorithms,the proposed method signi-ficantly enhances texture detail information in thin cloud areas and cloud edges while maintaining low com-putational complexity.It achieves an image information entropy over 7.8,a contrast ratio exceeding 60,and a mean gradient above 200.In comparisons of image details,the proposed algorithm enhances texture details without introducing artifacts or non-uniformities,thereby meeting the high-fidelity requirements for remote sensing applications.关键词
云层检测/干扰去除/信息熵滤波/低通滤波Key words
cloud detection/interference removal/information-entropy filter/jointed mask分类
计算机与自动化引用本文复制引用
李静,李颖..信息熵-低通滤波联合掩模云层干扰去除方法[J].中国光学（中英文）,2024,17(5):1199-1208,10.
