A CFAR Algorithm for Layover and Shadow Detection in InSAR Images Based on Kernel Density Estimation

被引：1
|
作者：
Qin, Xianxiang [1 ]
Zhou, Shilin [1 ]
Zou, Huanxin [1 ]
Ren, Yun [1 ]
机构：
[1] Natl Univ Def Technol, Sch Elect Sci & Engn, Changsha 410073, Hunan, Peoples R China
来源：
FIFTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2013) | 2013年 / 8878卷
关键词：
Interferometric synthetic aperture radar (InSAR); layover; shadow; constant false alarm rate (CFAR) detection; kernel density estimation;
D O I：
10.1117/12.2030657
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
In this paper, a novel CFAR algorithm for detecting layover and shadow areas in Interferometric synthetic aperture radar (InSAR) images is proposed. Firstly, the probability density function (PDF) of the square root amplitude of InSAR image is estimated by the kernel density estimation. Then, a CFAR algorithm combining with the morphological method for detecting both layover and shadow is presented. Finally, the proposed algorithm is evaluated on a real InSAR image obtained by TerraSAR-X system. The experimental results have validated the effectiveness of the proposed method.
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页数：5
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