Classification methods of the hyperspectral image based on the continuum-removed

Jiwei Bai; Xing Li; Xingtang Hu; Xiongfei Zhang; Yongchao Zhao; Bing Zhang; Qingxi Tong; Lanfen Zheng

doi:10.1117/12.466729

16 June 2003 Classification methods of the hyperspectral image based on the continuum-removed

Jiwei Bai, Xing Li, Xingtang Hu, Xiongfei Zhang, Yongchao Zhao, Bing Zhang, Qingxi Tong, Lanfen Zheng

Proceedings Volume 4897, Multispectral and Hyperspectral Remote Sensing Instruments and Applications; (2003) https://doi.org/10.1117/12.466729
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China

Abstract

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.

Citation Download Citation

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); https://doi.org/10.1117/12.466729

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