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Proceedings Paper

Retrieval of urban residential areas from the fused image of SAR and TM data based on HIS transformation
Author(s): Hongan Wu; Jianjun Jiang
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Paper Abstract

This paper aims at improving the retrieval accuracy of urban residential areas in arid region where barrens are distributed widely by fusing multi-spectral image and SAR image based on HIS transformation. Unlike traditional supervised classification, 2-class classification is used to obtain urban residential areas and non-residential areas. Comparison between this method and traditional supervised maximum likelihood classification (MLC) method is performed. It is found that the retrieval of urban residential areas from the fused image is more accurate than that from TM image by using MLC, with accuracy of 84.21% and 71.79% respectively. The result validates the efficiency of our method.

Paper Details

Date Published: 14 November 2007
PDF: 7 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67901B (14 November 2007); doi: 10.1117/12.748711
Show Author Affiliations
Hongan Wu, Graduate School of the Chinese Academy of Sciences, State Key Lab. of Remote Sensing Science (China)
China Remote Sensing Satellite Ground Station (China)
Jianjun Jiang, Nanjing Normal Univ. (China)


Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications

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