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Remote Sensing Technology and Application  2012, Vol. 27 Issue (3): 443-448    DOI: 10.11873/j.issn.1004-0323.2012.3.443
    
The Research on Extraction Method of Water Body Information in Chaohu Lake Basin
Guo Zhenya1,Wang Xinyuan2,Wang Chuanhui1,Gao Chao1,Wu Haizhong1
(1.College of Territorial Resources and Tourism in Anhui Normal University,Wuhu 241000,China;
2.Center for Earth Observation and Digital Earth,Chinese Academy of Sciences,Beijing 100094,China)
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Abstract  

Using Landsat-5 TM image,this paper tries to find another way to determine the threshold when extract water body through image binarization based on spectral analysis and water indices model,and improves the defects of single threshold by studying the spectrum value of the typical objects and the principle of some different water indices model.Analyzing the spectrum value find that the spectrum value of shadow stay within a stable range,while the spectrum value of water change in a big range for different depth and the content of the sediment and contaminant.Due to the high overlap of the gray value in remote sensing data,it is difficult to define shadow and water with the formula:(TM2+TM3)-(TM4+TM5)>T,in which T is difficult to be determined.To solve this problem,the paper presents the weighted gray threshold method,which give each band a weight and then sum the product of gray value and its weight,to find the threshold.The shadow and water can be separated effectively through this method.The study conclude that the water area can be obtained more accurately with the method of both water indices model and weighted gray threshold method combined.

Key words:  Water area information      Water indices model      Spectral relationship method      Weighted gray threshold     
Received:  28 July 2011      Published:  23 January 2013
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Cite this article: 

Guo Zhenya,Wang Xinyuan,Wang Chuanhui,Gao Chao,Wu Haizhong. The Research on Extraction Method of Water Body Information in Chaohu Lake Basin. Remote Sensing Technology and Application, 2012, 27(3): 443-448.

URL: 

http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2012.3.443     OR     http://www.rsta.ac.cn/EN/Y2012/V27/I3/443

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