NDLI: Multivariate Markovian gamma distributions for multitemporal sequences of SAR images

Content Provider	IEEE Xplore Digital Library
Author	Chatelain, F. Tourneret, J.-Y. Martin, N.
Copyright Year	2009
Description	Author affiliation: University of Toulouse, IRIT-ENSEEIHT-TéSA 2 rue Charles Camichel, BP 7122, 31071, France (Tourneret, J.-Y.) \|\| Gipsa-lab, Images and Signal Department, 961 rue de la Houille Blanche, BP 46, 38402 Saint Martin d'Hères, France (Chatelain, F.; Martin, N.)
Abstract	This paper introduces a family of multivariate gamma distributions characterized by a Markovian correlation structure. These distributions are interesting for detecting changes between multi-temporal sequences of synthetic aperture radar images. The parameters of these distributions can be estimated by using the maximum likelihood principle. This estimation procedure allows one to obtain a change indicator between each pair of images. A performance comparison with maximum likelihood estimators derived from a bivariate gamma distribution model is conducted. The gain of performance provided by the Markovian multivariate model with respect to a bivariate model is emphasized on synthetic and real images.
Starting Page	337
Ending Page	340
File Size	1088118
Page Count	4
File Format	PDF
ISBN	9781424427093
e-ISBN	9781424427116
DOI	10.1109/SSP.2009.5278569
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-31
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maximum likelihood estimation Radar detection Maximum likelihood detection Synthetic aperture radar Pixel Geophysical measurements Polynomials Performance gain Optical imaging Hydrology multitemporal sequences Gamma distributions Markovian correlation structure maximum likelihood estimation synthetic aperture imaging
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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