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Remote Sensing Technology and Application  2015, Vol. 30 Issue (2): 277-284    DOI: 10.11873/j.issn.1004-0323.2015.2.0277
    
Optimization of Shadow Detection and Compensation Method for High-resolution Remote Sensing Images
Deng Lin1,Deng Mingjing2,Zhang Lishu2
(1.Department of Remote Sensing and Geospatial Information Engineering,Southwest Jiaotong University,Chengdu 611756,China;
2.Department of Surveying and Mapping Engineering,Chongqing Jiaotong University,Chongqing 400074,China)
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Abstract  

This paper proposed a method of identifying and eliminating water regions from shadows in remote sensing images based on statistical information of principal component analysis,and a method of shadow achieved compensation by combining the blue\|ray suppression algorithms and the statistical information of the companion regions.This paper first carried out the initial detection of shadow regions by utilizing the Normalized Difference Umbra Index(NDUI),and then identifyied and removed the water regions according to the statistics information difference of the water and shadow regions after principal component transformation,followed the accurate shadow masking by small regions removal and morphological algorithms.Subsequently,H,I and S components are compensated by blue\|ray suppression algorithms and statistical information of the companion regions.Finally,the results are converted back to RGB color space to complete shadow compensation.The methods proposed in this paper are tested by using the high\|resolution images of WorldView2 and UltraCam D.The results show that the proposed methods can effectively distinguish shadow regions from water regions and reduce the impact from the compensation process to the non\|shaded regions.

Key words:  HIS transformation      Shadow detection      Principle components transformation      Shadow compensation     
Received:  24 January 2014      Published:  08 May 2015
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Deng Lin
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Zhang Lishu

Cite this article: 

Deng Lin,Deng Mingjing,Zhang Lishu. Optimization of Shadow Detection and Compensation Method for High-resolution Remote Sensing Images. Remote Sensing Technology and Application, 2015, 30(2): 277-284.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2015.2.0277     OR     http://www.rsta.ac.cn/EN/Y2015/V30/I2/277

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