Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-2/W3, 127-130, 2014
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-2-W3/127/2014/
doi: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
A ROBUST CHANGE DETECTOR FOR MULTILOOK POLARIMETRIC SYNTHETIC APERTURE RADAR DATA
Ghanbari1, Akbari2, Abkar1, Sahebi1, and Liu3 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.
Conference paper (PDF, 7337 KB)


Citation: Ghanbari, Akbari, Abkar, Sahebi, and Liu: A ROBUST CHANGE DETECTOR FOR MULTILOOK POLARIMETRIC SYNTHETIC APERTURE RADAR DATA, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-2/W3, 127-130, doi:10.5194/isprsarchives-XL-2-W3-127-2014, 2014.

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