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16 June 2003 Classification methods of the hyperspectral image based on the continuum-removed
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In the hyperspectral remote sensing, the continuum-removed method is used only with the spectrum of a single pixel to analyze spectrum and extract the feature bands useful with the classification. While in this paper, based on the continuum-removed algorithm, we programmed with Visual C++ to fulfill the functions of the continuum removed to the whole hyperspectral image, normalizing and extracting the feature space for the classification. At last, aiming at the former image and the after-continuum removed image, the classification results of the MLC and SAM are compared.
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Jiwei Bai, Xing Li, Xingtang Hu, Xiongfei Zhang, Yongchao Zhao, Bing Zhang, Qingxi Tong, and Lanfen Zheng "Classification methods of the hyperspectral image based on the continuum-removed", Proc. SPIE 4897, Multispectral and Hyperspectral Remote Sensing Instruments and Applications, (16 June 2003);

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