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Hierarchical Segmentation of Polarimetric SAR Images Using Heterogeneous Clutter Models

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4 Author(s)
Bombrun, L. ; Grenoble Image sPeech Signal Automatics Lab. (GIPSA-Lab.), Grenoble Inst. of Technol., Grenoble, France ; Vasile, G. ; Gay, M. ; Totir, F.

In this paper, heterogeneous clutter models are used to describe polarimetric synthetic aperture radar (PolSAR) data. The KummerU distribution is introduced to model the PolSAR clutter. Then, a detailed analysis is carried out to evaluate the potential of this new multivariate distribution. It is implemented in a hierarchical maximum likelihood segmentation algorithm. The segmentation results are shown on both synthetic and high-resolution PolSAR data at the X- and L-bands. Finally, some methods are examined to determine automatically the “optimal” number of segments in the final partition.

Published in:

Geoscience and Remote Sensing, IEEE Transactions on  (Volume:49 ,  Issue: 2 )

Date of Publication:

Feb. 2011

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