Processing of SAR data exploiting spatial, polarimetric and topological information

Author

Smits, P.C. ; Dellepiane, S.

Author_Institution

Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy

Volume

2

fYear

34881

fDate

10-14 Jul1995

Firstpage

1147

Abstract

The Markov random field (MRF) approach is very useful in synthetic aperture radar (SAR) image classification and segmentation. Unfortunately, it exhibits the drawback that fine structures tend to disappear during the segmentation process due to the morphology of the cliques used for the region label model. In this paper, a new method is described that tailors the shape of the cliques to topological information. The validity of the approach is shown by the results obtained by applying the method to multi-polarimetric SAR images

Keywords

geophysical signal processing; geophysical techniques; image classification; image segmentation; radar applications; radar imaging; radar polarimetry; remote sensing by radar; spaceborne radar; synthetic aperture radar; Markov random field; SAR image processing; clique; geophysical measurement technique; image classification; image segmentation; land surface; polarimetry; radar remote sensing; region label model; synthetic aperture radar; terrain mapping; topological information; Area measurement; Covariance matrix; Image classification; Image segmentation; Joining processes; L-band; Layout; Markov random fields; Morphology; Noise shaping; Pixel; Polarization; Shape; Synthetic aperture radar; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International

Conference_Location

Firenze

Print_ISBN

0-7803-2567-2

Type

conf

DOI

10.1109/IGARSS.1995.521167

Filename

521167