Share Email Print

Proceedings Paper

A new method to classify hyperspectral data of Landsat TM image
Author(s): Yixiang Wang; Zhibin Sun; Shangbin Bai
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 4 September 2015
PDF: 7 pages
Proc. SPIE 9610, Remote Sensing and Modeling of Ecosystems for Sustainability XII, 96100P (4 September 2015); doi: 10.1117/12.2187769
Show Author Affiliations
Yixiang Wang, Zhejiang Agriculture and Forestry Univ. (China)
Zhibin Sun, Colorado State Univ. (United States)
Shangbin Bai, Zhejiang Agriculture and Forestry Univ. (China)

Published in SPIE Proceedings Vol. 9610:
Remote Sensing and Modeling of Ecosystems for Sustainability XII
Wei Gao; Ni-Bin Chang; Jinnian Wang, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?