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Proceedings Paper

Selection of fusing methods with SAR and TM data to monitor flood quickly
Author(s): Guihong Chen; Lingli Tang; Changda Dai; Xiaoguang Jiang
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Paper Abstract

Data fusion of SAR (during flood event) and LANDSAT TM (before flood event) has been well known to detect flood disaster, owing to that the all-weather and all-time ability of microwave remote sensing and the abundant information and good interpretation of TM. In this paper, firstly, an approach named TIN (Triangulated Irregular Network) was used for registration, with better accuracy than other general methods. Secondly, according to statistic analysis including interband correlation and entropy, etc. the selection of the optimal bands of TM was discussed. In order to monitor flood event better and more quickly in future, we analyzed various fusion approaches to see which is optimal and less time-consuming with the data of 98's flood happened to the Yangtze River. As a result, the pseudocolor image of composition of TM5-SAR-TM3 is the best, however, the combinations of TM5-SAR-TM2, TM7-SAR-TM2 and TM7-SAR-TM3 are also alternative and feasible.

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: 10.1117/12.468077
Show Author Affiliations
Guihong Chen, China Remote Sensing Satellite Ground Station (China)
Lingli Tang, China Remote Sensing Satellite Ground Station (China)
Changda Dai, China Remote Sensing Satellite Ground Station (China)
Xiaoguang Jiang, China Remote Sensing Satellite Ground Station (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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