A CFAR algorithm for layover and shadow detection in InSAR images based on kernel density estimation

Xianxiang Qin; Shilin Zhou; Huanxin Zou; Yun Ren

doi:10.1117/12.2030657

19 July 2013 A CFAR algorithm for layover and shadow detection in InSAR images based on kernel density estimation

Xianxiang Qin, Shilin Zhou, Huanxin Zou, Yun Ren

Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 887842 (2013) https://doi.org/10.1117/12.2030657
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China

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.

Citation Download Citation

Xianxiang Qin, Shilin Zhou, Huanxin Zou, and Yun Ren "A CFAR algorithm for layover and shadow detection in InSAR images based on kernel density estimation", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 887842 (19 July 2013); https://doi.org/10.1117/12.2030657

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