通过高光谱遥感图像空间邻域内光谱特征的变化, 研究了邻域光谱度量指数; 根据邻域内端元光谱特征的变化, 提出了邻域独立端元指数提取图像的空间维细节信息。通过真实高光谱遥感图像检验, 两类邻域指数能够较好地提取高光谱遥感图像中的细节, 为进一步结合空间维、光谱维特征的高精度目标探测与识别创造了有利条件。

Hyperspectral remote sensing image provides not only abundant spectral information but also spatial detailed infor- mation. For making full use of the information, this paper considered the variations of the spectral feature among pixels in local neighborhood and researched on a kind of Local Neighborhood Spectral Similarity Measure Index to extract the spatial detailed information. Furthermore, the spectral feature of endmember in local neighborhood was also considered. And a kind of Local Neighborhood Independent Endmember Index was proposed. In experiments, these local neighborhood indexes demonstrated excellent performance in the real hyperspectral image. Based on these work, it can further improve the capability of hyperspec-tral target detection and identification by combining with spatial and spectral information.