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Proceedings Paper

Classification methods of the hyperspectral image based on the continuum-removed
Author(s): Jiwei Bai; Xing Li; Xingtang Hu; Xiongfei Zhang; Yongchao Zhao; Bing Zhang; Qingxi Tong; Lanfen Zheng
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Paper 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.

Paper Details

Date Published: 16 June 2003
PDF: 5 pages
Proc. SPIE 4897, Multispectral and Hyperspectral Remote Sensing Instruments and Applications, (16 June 2003); doi: 10.1117/12.466729
Show Author Affiliations
Jiwei Bai, Institute of Remote Sensing Applications (China)
Xing Li, Institute of Remote Sensing Applications (China)
Xingtang Hu, Institute of Remote Sensing Applications (China)
Xiongfei Zhang, Institute of Remote Sensing Applications (China)
Yongchao Zhao, Institute of Remote Sensing Applications (China)
Bing Zhang, Institute of Remote Sensing Applications (China)
Qingxi Tong, Institute of Remote Sensing Applications (China)
Lanfen Zheng, Institute of Remote Sensing Applications (China)


Published in SPIE Proceedings Vol. 4897:
Multispectral and Hyperspectral Remote Sensing Instruments and Applications
Allen M. Larar; Qingxi Tong; Makoto Suzuki, Editor(s)

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