A ROBUST CHANGE DETECTOR FOR MULTILOOK POLARIMETRIC SYNTHETIC APERTURE RADAR DATA
- 1Department of Surveying and Geomatics Engineering, K.N.Toosi University of Technology, Tehran, Iran
- 2Department of Physics and Technology, University of Tromsø, Tromsø, Norway
- 3Key Labratory of Digital Earth Sciences, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
Keywords: Change detection, SAR polarimetry, Kittler and Illingworth thresholding, Hotelling-Lawley trace statistic
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.