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遥感技术与应用  2012, Vol. 27 Issue (4): 496-503    DOI: 10.11873/j.issn.1004-0323.2012.4.496
综述     
SAR影像建筑物提取与高度反演研究综述
张 波,王 超,张 红,吴 樊
(中国科学院对地观测与数字地球科学中心,中国科学院数字地球重点实验室,北京 100094)
A Review on Building Extraction and Reconstruction from SAR Image
Zhang Bo,Wang Chao,Zhang Hong,Wu Fan
(Key Laboratory of Digital Earth Science,Center for Earth Observation and Digital Earth,Chinese Academy of Sciences,Beijing 100094,China)
 全文: PDF(1078 KB)  
摘要:

基于SAR影像进行建筑物提取与高度反演,可行的技术方法种类繁多。以使用的影像数量和分辨率为序,以使用的灰度、相位、极化信息为核心,分别从二维提取、三维高度反演两个方面总结了这一技术主题的研究发展现状;并结合当前SAR影像高分辨率、全极化的数据特点和国际最新研究动向,对这一研究方向进行了展望。

关键词: 高分辨率SAR全极化SAR建筑物提取高度反演    
Abstract:

Many methods have been proposed for building area extraction and building 3-D reconstruction from SAR images.However,the basic theory and process are diverse.To get better result,it is important for these methods to make full use of the information,including amplitude,polarization,and phase in SAR images.From this point of view,this paper reviews the current techniques and methods sequentially.The methods used for building area extraction are introduced by the order of used middle-resolution image,high-resolution image,time series images,fusion of SAR images and optical images.The methods used for building 3-D reconstruction are classified as radar photogrammetry and radar interferometry.Finally,some comments and promised ideas are given such as building height retrieval based on precise electromagnetic calculation and simulation,building area extraction based on accurate polarimetric decomposition techniques,and SAR image analysis based on new techniques from computer vision.

Key words: High-resolution SAR    Quad-pol SAR    Building extraction    Height retrieval
收稿日期: 2011-08-16 出版日期: 2012-08-24
:  P 236  
基金资助:

国家自然科学基金项目(40871191),中国科学院对地观测与数字地球科学中心主任科学基金资助项目(09ZZ101101B)。

作者简介: 张 波(1976-),男,河南新乡人,博士,主要从事SAR影像处理与目标识别研究。Email:bozhang@ceode.ac.cn。
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引用本文:

张 波,王 超,张 红,吴 樊. SAR影像建筑物提取与高度反演研究综述[J]. 遥感技术与应用, 2012, 27(4): 496-503.

Zhang Bo,Wang Chao,Zhang Hong,Wu Fan. A Review on Building Extraction and Reconstruction from SAR Image. Remote Sensing Technology and Application, 2012, 27(4): 496-503.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2012.4.496        http://www.rsta.ac.cn/CN/Y2012/V27/I4/496

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