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Hierarchical Segmentation of Polarimetric SAR Images Using Heterogeneous Clutter Models.
- Source :
-
IEEE Transactions on Geoscience & Remote Sensing . Feb2011, Vol. 49 Issue 2, p726-737. 12p. - Publication Year :
- 2011
-
Abstract
- 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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 01962892
- Volume :
- 49
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Geoscience & Remote Sensing
- Publication Type :
- Academic Journal
- Accession number :
- 62332096
- Full Text :
- https://doi.org/10.1109/TGRS.2010.2060730