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Remote Sensing Technology and Application  2008, Vol. 23 Issue (6): 735-738    DOI: 10.11873/j.issn.1004-0323.2008.6.735
    
Shadow Detection and Removal Based on Object-oriented Method inHigh Spatial Resolution Remote Sense Image
PU Zhi1,2,YANG Liao1,BAI Jie1,2
(1.Xinjiang |Institute of Ecology and Geography,Chinese Academy of Sciences,Urumqi 830011,China;2.The Graduate School of the Chinese Academy of Sciences,Beijing 100039,China)
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Abstract  

Shadow detection in high spatial resolution remote image is very critical for target identification and information recovering.In this paper,an object-oriented method is used to detect shadow area.Firstly,the image is processed by segmentation to attain the image objects, then the knowledge is established according to the analysis of the spectral character of the shadow area in the image.Finally,the shadow area could be extracted by using the rules defined in the knowledgebase.The experiment result shows that this method is valid.

Key words:          Shadow      Shadow detection      Shadow compensation      Object      oriented     
Received:  05 June 2008      Published:  07 November 2011
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Cite this article: 

PU Zhi,YANG Liao,BAI Jie. Shadow Detection and Removal Based on Object-oriented Method inHigh Spatial Resolution Remote Sense Image. Remote Sensing Technology and Application, 2008, 23(6): 735-738.

URL: 

http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2008.6.735     OR     http://www.rsta.ac.cn/EN/Y2008/V23/I6/735

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