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遥感技术与应用  2016, Vol. 31 Issue (4): 714-723    DOI: 10.11873/j.issn.1004-0323.2016.4.0714
数据与图像处理     
结合纹理与极化分解的面向对象极化SAR水体提取方法
邓滢1,2,张红1,王超1,刘萌1
(1.中国科学院遥感与数字地球研究所数字地球实验室,北京 100094;
2.中国科学院大学,北京 100049)
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)
 全文: PDF(25785 KB)  
摘要:

合成孔径雷达(Synthetic Aperture Radar,SAR)拥有全天时全天候的工作能力,能够有效地连续对地观测,是土地管理,水体监测,灾害评估等多种应用的稳定数据来源。基于面向对象的思想,提出一种高精度、低虚警率的极化SAR(Polarimetric SAR,PolSAR)水体提取方法。此方法首先对极化SAR图像进行分割,再结合纹理与极化分解特征,对分割区域进行投票,识别水体区域。利用Radarsat-2数据和TerraSAR-X数据开展实验,并将提出方法与基于单一纹理和基于极化分解等水体提取方法进行对比,结果表明该方法在两种数据中均具有最高的总分类精度,其中基于分割技术能够保持完整的水陆边界,纹理与极化特征能够区分浅草、裸地和阴影等与水体相似的地物,结合投票方法能够提高小型水体检测率。

关键词: PolSAR面向对象水体提取纹理特征    
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
收稿日期: 2015-06-29 出版日期: 2016-10-14
:  TP 79  
基金资助:

国家自然科学基金项目(41371352,41331176,41401514)。

通讯作者: 张红(1972-),女,安徽南陵人,研究员,博导,主要从事微波遥感研究。Email:zhanghong@radi.ac.cn。    
作者简介: 邓滢(1990-),女,广东广州人,硕士研究生,主要从事SAR图像处理研究。Email:dengying@radi.ac.cn。
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引用本文:

邓滢,张红,王超,刘萌. 结合纹理与极化分解的面向对象极化SAR水体提取方法[J]. 遥感技术与应用, 2016, 31(4): 714-723.

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.

链接本文:

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

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