Now showing items 1-2 of 2
A K-Wishart Markov random field model for clustering of polarimetric SAR imagery
(Peer reviewed; Book; Bok; Bokkapittel; Chapter, 2011-10-20)
A clustering method that combines an advanced statistical distribution with spatial contextual information is proposed for multilook polarimetric synthetic aperture radar (PolSAR) data. It is based on a Markov random field (MRF) model that integrates a K-Wishart distribution for the PolSAR data statistics conditioned to each image cluster and a Potts model for the spatial context. Specifically, the ...
Subaperture analysis of polarimetric SAR data for iceberg detection
(Peer reviewed; Konferansebidrag; Bok; Conference object; Book, 2016-11-03)
This paper is focused on investigations of the improved detection of icebergs in open water using spectral analysis of polarimetric SAR data. The objectives of this study are to analyze the behavior of ice objects in open water using the sublook cross-correlation magnitude (SCM). It is shown that there is an improvement of iceberg-sea contrast when the SCM is used instead of multilook intensities ...