Land use/land cover change detection based on canonical transformation

Lu Zhang; Mingsheng Liao; Hui Sheng

doi:10.1117/12.467876

11 June 2003 Land use/land cover change detection based on canonical transformation

Lu Zhang, Mingsheng Liao, Hui Sheng

Proceedings Volume 4898, Image Processing and Pattern Recognition in Remote Sensing; (2003) https://doi.org/10.1117/12.467876
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China

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.

Citation Download Citation

Lu Zhang, Mingsheng Liao, and Hui Sheng "Land use/land cover change detection based on canonical transformation", Proc. SPIE 4898, Image Processing and Pattern Recognition in Remote Sensing, (11 June 2003); https://doi.org/10.1117/12.467876

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