一种顾及上下文的高光谱遥感图像端元提取方法Contextual endmember extraction of hyperspectral remote sensing image
杜会建,赵银娣,蔡燕
摘要(Abstract)：
端元提取技术是混合像元分解中重要的步骤之一,传统的端元提取方法仅考虑了像元的光谱信息。本文将数学形态学算子扩展到高光谱空间,并应用到端元提取技术中,可以顾及像元的上下文信息。利用AVIRIS高光谱仿真数据对算法进行了实验验证,结果表明本文算法具有较强的抗噪能力和较高的可靠性。在此基础上,结合徐州地区的EO-1 Hyperion高光谱遥感图像,使用本文算法进行了端元提取应用研究,将实验结果与纯净像元指数、顶点成分分析方法做了对比分析和精度评价,证明本文算法是一种可靠的高光谱遥感图像端元提取技术。
关键词(KeyWords)： 端元提取;数学形态学;上下文信息;高光谱遥感
基金项目(Foundation):
作者(Author): 杜会建,赵银娣,蔡燕
DOI: 10.16251/j.cnki.1009-2307.2012.02.015
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