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以地物识别和分类为目标的高光谱数据挖掘

王晋年1, 张兵1, 刘建贵1, 童庆禧1, 郑兰芬1(中国科学院遥感应用研究所,北京 100101)

摘 要
高光谱信息挖掘技术是高光谱数据应用延拓与深入的重要环节,其核心在于光谱信息的挖掘,基于高光谱遥感信息的特点,探讨分析以地物识别与分类目标的高光谱数据挖掘技术,包括基于模式识别的高光说诺于光谱波形特征的挖掘技术,以及亚象元光谱挖掘。
关键词
Hyperspectral Data Mining-Toward Target Recognition and Classification

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Abstract
Hyperspectral Data Mining is a key technology to discover spectral information for application of hyperspectral remote sensing data. In this paper, focusing on target recognition and classification, we introduce some hyperspectral data mining algorithm, spectral feature based data mining algorithm, and subpixel spectral information mining algorithm. In advance new algorithms should be developed to explore target spectral information in N dimensional feature space based on spectral knowledge and application modelling.
Keywords

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