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中文摘要：
提出了一种新的光谱相似性度量算法分类体系。在归纳算法的基础上，根据不同的度量原理与实现簋略，结合应用需求，提出了基于光谱多边形的测度、四值编码、十进制编码、树状变换测度及基于小波变换的测度等新方法，这些方法能够应用于分类、检索等的相似性度量中。
英文摘要：
Based on the analysis to current algorithms, some new approaches and experimented. Similarity measure based on spectral polygon considers both albedo and wavelength at the same time so its precision is higher than other methods. Spectral similarity measure based on multi-scale wavelet transformation can combine similarity measure with dimensionality reduction, also have high precision. By experiments it proves that these new approaches can be used to spectral feature-based hyperspectral RS image retrieval effectively.
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