A ROBUST CHANGE DETECTOR FOR MULTILOOK POLARIMETRIC SYNTHETIC APERTURE RADAR DATA

Ghanbari,; Akbari,; Abkar,; Sahebi,; Liu,

In this paper, we propose a robust unsupervised change detection algorithm for multilook polarimetric synthetic aperture radar (PolSAR) data. The Hotelling-Lawley trace (HLT) statistic is used as a test statistic to measure the similarity of two covariance matrices. The generalized Kittler and Illingworth (K&I) minimum-error thresholding algorithm is then applied on the test statistic image to accurately discriminates changed and unchanged areas. The algorithm, tested on real PolSAR images, provides satisfactory results.

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Ghanbari, / Akbari, / Abkar, / et al: A ROBUST CHANGE DETECTOR FOR MULTILOOK POLARIMETRIC SYNTHETIC APERTURE RADAR DATA. 2014. Copernicus Publications.

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