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Remote Sensing Technology and Application  2016, Vol. 31 Issue (4): 714-723    DOI: 10.11873/j.issn.1004-0323.2016.4.0714
    
An Object-oriented Water Extraction Method based on Texture and Polarimetric Decomposition Feature
Deng Ying1,2,Zhang Hong1,Wang Chao1,Liu Meng1
(1.Key Laboratory of Digital Earth Science,Institute of Remote Sensing and Digital Earth,
Chinese Academy of Sciences,Beijing 100094,China;
2.University of Chinese Academy of Sciences,Beijing 100049,China)
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Abstract  

Synthetic Aperture Radar(SAR),with all-weather and all-time imaging capabilities,is able to carry out continuous and effective earth observation,which provides a stable data resource for environmental monitoring.This paper presents a high precision Object-oriented water extraction scheme based on polarimetric SAR(PolSAR) data.First,a watershed segmentation is used for preserving waterlines.Meanwhile,the Gary-Level Co-occurrence Matrix(GLCM) and a decomposition method are applied to extract texture and scattering features,respectively.Then a majority voting is utilized for water segment recognition.Both Radarsat-2 data and TerraSAR-X data are used to verify the efficiency of the proposed method,and a pixel-based scheme,texture feature based method,polarimetric decomposition based method and a proposed method without the majority voting step are applied for comparison.The experimental results indicate that the proposed method has the highest classification accuracy while the segmentation is able to maintain accurate waterline,and the combination of texture feature and decomposition components is able to distinguish grass,barren and shadow while the voting strategy is capable of detecting small water area.

Key words:  PolSAR      Object-oriented      Water extraction      Texture     
Received:  29 June 2015      Published:  14 October 2016
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Deng Ying
Zhang Hong
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Cite this article: 

Deng Ying,Zhang Hong,Wang Chao,Liu Meng. An Object-oriented Water Extraction Method based on Texture and Polarimetric Decomposition Feature. Remote Sensing Technology and Application, 2016, 31(4): 714-723.

URL: 

http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2016.4.0714     OR     http://www.rsta.ac.cn/EN/Y2016/V31/I4/714

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