On Hierarchical Segmentation of High Resolution PolSAR Data

Konferenz: EUSAR 2010 - 8th European Conference on Synthetic Aperture Radar
07.06.2010 - 10.06.2010 in Aachen, Germany

Tagungsband: EUSAR 2010

Seiten: 4Sprache: EnglischTyp: PDF

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Totir, Felix; Vasile, Gabriel; Bombrun, Lionel; Gay, Michel (Grenoble Image sPeach Signal Automatics Lab (GIPSA-lab DIS/SIGMAPHY), CNRS - Grenoble INP, France)
Toma, Stefan (Military Technical Academy (ATM), Bucharest, Romania)

Segmentation of SAR (Synthetic Aperture Radar) and PolSAR (Polarimetric SAR) images is a challenging task, both because such images are strongly textured and because of the relatively complicated stochastic model that is assumed. Such stochastic models may vary from classical Gaussian to the more advanced SIRVs. Since contour approaches are higly unreliable for textured images, multi-resolution techniques, among which hierarchical segmentation accounts, gained importance in PolSAR segmentation. However, finding the optimal number of segments, when the hierarchical algorithm should be stopped, remain a subjective task. This paper reports some results concerning this latter question.