文献详情
A novel layover and shadow detection method for InSAR
文献类型会议
作者Chen, Wei[1];Xu, Huaping[2];Li, Shuang[3]
2013
机构
会议名称2013 IEEE INTERNATIONAL CONFERENCE ON IMAGING SYSTEMS AND TECHNIQUES (IST 2013)
通讯作者Chen, W (reprint author), Beihang Univ, Dept Elect & Informat Engn, Beijing 100191, Peoples R China.
页码范围441-445
来源信息年:2013  页码范围:441-445  
会议信息2013 IEEE INTERNATIONAL CONFERENCE ON IMAGING SYSTEMS AND TECHNIQUES (IST 2013)  ISSN:
关键词InSAR; layover; shadow; eigenvalue decomposition; local frequency
摘要Layover and shadow are ubiquitous phenomenon in SAR images. The singularity of phase in layover and shadow areas leads to severe difficulties for phase unwrapping and makes it hard to derive the height information of the target. Therefore they should be detected and dealt with. In this paper, an improvement is made to the classic eigenvalue decomposition method of layover and shadow detection, and a novel method based on the improved eigenvalue decomposition method, amplitude segmentation and the local frequency estimation is proposed to detect layover and shadow for InSAR images. The validity of the method proposed in this paper is testified by simulation.
收录情况CPCI-S(WOS:000350344000088)  
所属部门电子信息工程学院
学科计算机:人工智能;成像科学与照相技术
会议开始日期2013-01-01
语言外文
人气指数68
浏览次数68
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