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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。
Based on the changes of spectral features in neighborhoods of hyperspectral remote sensing images, the neighborhood spectral metrology indices were studied. According to the changes of spectral features in neighborhood endoskeletons, the spatial dimension detail information of neighborhood independent endmember indices was proposed. By using real hyperspectral remote sensing images, two kinds of neighborhood indices can extract the details of hyperspectral remote sensing image well, which has created favorable conditions for further exploration and recognition of high-precision target with spatial and spectral features.