基于LSMA的TM影像云和阴影的检测与去除方法Detecting and removing cloud and shade on TM imagery based on LSMA
郑文武,邓运员
摘要(Abstract)：
云和阴影是影响遥感图像判读精度和可用性的主要因素,传统的辐射校正方法很难去除其影响,因此各种去云和阴影的方法应运而生,但在去除效果和实用性方面存在问题。去除云和阴影需以定量检测云和阴影为前提,因此通过分析TM影像中不同地物在不同波段的反射率差异,设计了一种基于动态端元选择的LSMA(线性光谱分解)算法,选择了云、绿色植被、阴影和不透水表面等4种端元,定量检测了云和阴影的分布,并以此为基础实现了对云和阴影的去除,通过处理前后影像的对比分析证明该方法是有效的。
关键词(KeyWords)： LSMA;TM;去云和阴影
基金项目(Foundation): 基于多源遥感数据的衡阳盆地坡耕地土壤水分反演研究(编号:08C154)
作者(Author): 郑文武,邓运员
DOI: 10.16251/j.cnki.1009-2307.2010.03.067
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