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.
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