Volume XL-2/W3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-2/W3, 127-130, 2014
https://doi.org/10.5194/isprsarchives-XL-2-W3-127-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-2/W3, 127-130, 2014
https://doi.org/10.5194/isprsarchives-XL-2-W3-127-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

  22 Oct 2014

22 Oct 2014

A ROBUST CHANGE DETECTOR FOR MULTILOOK POLARIMETRIC SYNTHETIC APERTURE RADAR DATA

Ghanbari1, Akbari2, Abkar1, Sahebi1, and Liu3 Ghanbari et al.
  • 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.