DocumentCode
3001702
Title
Segmentation of multi-look speckled images
Author
Derin, Haluk ; Kelly, Patrick A. ; Labitt, Steven G.
Author_Institution
Dept. of Electr. & Comput. Eng., Massachusetts Univ., Amherst, MA, USA
fYear
1988
fDate
11-14 Apr 1988
Firstpage
1204
Abstract
A hierarchical random field model and segmentation algorithm is presented for multilook speckled images. Speckle is modeled using Gaussian random fields that have separable autocorrelations. The model incorporates the correlation found in real speckle. The speckle fields are Markov with second-order neighborhoods, a property used in the segmentation. The segmentation algorithm, which is based on a posteriori formulation, estimating the value of the region field given the speckled observation
Keywords
Markov processes; computerised picture processing; correlation methods; radar theory; speckle; Gaussian random fields; Markov speckle fields; correlation; hierarchical random field model; multilook speckled images; radar theory; segmentation algorithm; separable autocorrelations; Autocorrelation; Gaussian approximation; Gaussian noise; Image segmentation; Pixel; Radar imaging; Reflection; Speckle; Statistics; Synthetic aperture radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location
New York, NY
ISSN
1520-6149
Type
conf
DOI
10.1109/ICASSP.1988.196816
Filename
196816
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