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Remote Sensing Technology and Application  2007, Vol. 22 Issue (1): 79-82    DOI: 10.11873/j.issn.1004-0323.2007.1.79
    
An Object Oriented Methodology for Automatic Analysis of Inundate Extent Using Multi-Polarized SAR Image
SHEN Guo-zhuang, LIAO Jing-juan
(National Key Laboratory of Remote Sensing Sciences,Institute of Remote Sensing Applications,
Chinese Academy of Sciences,Beijing100101,China)
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Abstract  

With the all-weather and day-night time imaging capability, Synthetic Aperture Radar (SAR) plays an important role in detecting inundate extent, and has the advantaged advantage. The traditional pixel-based methods have limitation in detecting inundate extent, so an object oriented methodology has been introduced here. In this paper, we mainly discuss the potential of object oriented method used in automatic detecting inundate extent using multi-polarized ENVISAT ASAR image. This method can provide a new method for flood monitoring, assessment and extract the flood extent.

Key words:  Object oriented      Multi-polarized      SAR      Flood disaster     
Received:  26 June 2006      Published:  14 October 2011
TN 957  
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Cite this article: 

SHEN Guo-zhuang, LIAO Jing-juan. An Object Oriented Methodology for Automatic Analysis of Inundate Extent Using Multi-Polarized SAR Image. Remote Sensing Technology and Application, 2007, 22(1): 79-82.

URL: 

http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2007.1.79     OR     http://www.rsta.ac.cn/EN/Y2007/V22/I1/79


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