Markovian methods for SAR image processing

Author

Tupin, Florence

Author_Institution

Departement Traitement du Signal et des Images, Ecole Nat. Superieure des Telecommun., Paris, France

Volume

3

fYear

2001

fDate

2001

Firstpage

1164

Abstract

This article aims at illustrating the generality and the powerfulness of Bayesian and specially Markovian frameworks for different remote sensing applications and in particular for SAR (synthetic aperture radar) image processing. Indeed, the Markovian model is a very convenient way to introduce prior knowledge on the problem to solve. It will first be evoked with examples on the pixel level like filtering, segmentation and classification. Then higher level applications, like object recognition, and global image interpretation will be developed

Keywords

Bayes methods; Markov processes; geophysical signal processing; geophysical techniques; image classification; image segmentation; radar imaging; remote sensing by radar; synthetic aperture radar; terrain mapping; Bayes method; Markovian method; Markovian model; SAR; geophysical measurement technique; image classification; image processing; image segmentation; land surface; pixel level like filtering; radar imaging; radar remote sensing; synthetic aperture radar; terrain mapping; Bayesian methods; Filtering; Image processing; Image segmentation; Markov random fields; Optical filters; Radar imaging; Remote sensing; Speckle; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International

Conference_Location

Sydney, NSW

Print_ISBN

0-7803-7031-7

Type

conf

DOI

10.1109/IGARSS.2001.976779

Filename

976779