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Proceedings Paper

Land use/land cover change detection based on canonical transformation
Author(s): Lu Zhang; Mingsheng Liao; Hui Sheng
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Paper Abstract

Change detection is a key topic in land use/land cover related studies and significant efforts have been made in the development of methods for change detection. In this article a multivariate analysis method based on canonical transformation is introduced into change detection using multi-temporal remote sensing imageries. Afterwards an automatic unsupervised discriminating technique based on the Bayes Rule of Minimum Error is employed for changed areas identification in the difference image. Experimental results of a case study using Landsat TM imageries are presented to demonstrate the effectiveness of our method.

Paper Details

Date Published: 11 June 2003
PDF: 9 pages
Proc. SPIE 4898, Image Processing and Pattern Recognition in Remote Sensing, (11 June 2003); doi: 10.1117/12.467876
Show Author Affiliations
Lu Zhang, Wuhan Univ. (China)
Mingsheng Liao, Wuhan Univ. (China)
Hui Sheng, East China Univ. of Petroleum (China)

Published in SPIE Proceedings Vol. 4898:
Image Processing and Pattern Recognition in Remote Sensing
Stephen G. Ungar; Shiyi Mao; Yoshifumi Yasuoka, Editor(s)

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