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This paper presents a new estimation scheme for optimally deriving clutter parameters with high resolution POLSAR data. The heterogeneous clutter in POLSAR data is described by the Spherically Invariant Random Vectors model. Three parameters are introduced for the high resolution POLSAR data clutter: the span, the normalized texture and the speckle normalized covariance matrix. The asymptotic distribution of the novel span estimator is investigated. A novel heterogeneity test for the POLSAR clutter is also discussed. The proposed method is tested with airborne POLSAR images provided by the ONERA RAMSES system.
Published in:
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Date of Conference: 24-29 July 2011
- Page(s):
- 3744 - 3747
- ISSN :
- 2153-6996
- Print ISBN:
- 978-1-4577-1003-2
- INSPEC Accession Number:
- 12486044
- Conference Location :
- Vancouver, BC
- Digital Object Identifier :
- 10.1109/IGARSS.2011.6050039
- Product Type:
- Conference Publications
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