A new method to classify hyperspectral data of Landsat TM image

Yixiang Wang; Zhibin Sun; Shangbin Bai

doi:10.1117/12.2187769

4 September 2015 A new method to classify hyperspectral data of Landsat TM image

Yixiang Wang, Zhibin Sun, Shangbin Bai

Proceedings Volume 9610, Remote Sensing and Modeling of Ecosystems for Sustainability XII; 96100P (2015) https://doi.org/10.1117/12.2187769
Event: SPIE Optical Engineering + Applications, 2015, San Diego, California, United States

Abstract

Classification, as well as finding representative spectrum, is always one of the major applications of satellite hyperspectral image data. A new method to find the set of representative spectrums was introduced in this study. It was firstly used to classify forest types in Tianmu Mountain National Nature Reserve by using Landsat TM images. This method is generic and can be applied to the data set that is hard to find one representative data for one class.

Citation Download Citation

Yixiang Wang, Zhibin Sun, and Shangbin Bai "A new method to classify hyperspectral data of Landsat TM image", Proc. SPIE 9610, Remote Sensing and Modeling of Ecosystems for Sustainability XII, 96100P (4 September 2015); https://doi.org/10.1117/12.2187769

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