Paper
14 November 2007 Retrieval of urban residential areas from the fused image of SAR and TM data based on HIS transformation
Hongan Wu, Jianjun Jiang
Author Affiliations +
Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67901B (2007) https://doi.org/10.1117/12.748711
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hongan Wu and Jianjun Jiang "Retrieval of urban residential areas from the fused image of SAR and TM data based on HIS transformation", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67901B (14 November 2007); https://doi.org/10.1117/12.748711
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KEYWORDS
Synthetic aperture radar

Image fusion

Image classification

Image retrieval

Earth observing sensors

Landsat

Radar

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