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Proceedings Paper

A CFAR algorithm for layover and shadow detection in InSAR images based on kernel density estimation
Author(s): Xianxiang Qin; Shilin Zhou; Huanxin Zou; Yun Ren
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Paper Abstract

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.

Paper Details

Date Published: 19 July 2013
PDF: 5 pages
Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 887842 (19 July 2013); doi: 10.1117/12.2030657
Show Author Affiliations
Xianxiang Qin, National Univ. of Defense Technology (China)
Shilin Zhou, National Univ. of Defense Technology (China)
Huanxin Zou, National Univ. of Defense Technology (China)
Yun Ren, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 8878:
Fifth International Conference on Digital Image Processing (ICDIP 2013)
Yulin Wang; Xie Yi, Editor(s)

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