A ROBUST CHANGE DETECTOR FOR MULTILOOK POLARIMETRIC SYNTHETIC APERTURE RADAR DATA

Ghanbari, Akbari, Abkar, Sahebi, Liu
2014 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
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,
more » ... PolSAR images, provides satisfactory results.
doi:10.5194/isprsarchives-xl-2-w3-127-2014 fatcat:ttlxcxl3xzcm3bawm6l3zrq5ga