A robust change detector for multilook polarimetric synthetic aperture radar data

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Abstract

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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APA

Ghanbari, M., Akbari, V., Abkar, A. A., Sahebi, M. R., & Liu, M. (2014). A robust change detector for multilook polarimetric synthetic aperture radar data. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives (Vol. 40, pp. 127–130). International Society for Photogrammetry and Remote Sensing. https://doi.org/10.5194/isprsarchives-XL-2-W3-127-2014

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