Markovian methods for SAR image processing

Florence Tupin

Markovian methods for SAR image processing

Florence Tupin

Research output: Contribution to conference › Paper › peer-review

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.

Original language	English
Pages	1164-1166
Number of pages	3
Publication status	Published - 1 Dec 2001
Event	2001 International Geoscience and Remote Sensing Symposium (IGARRS 2001) - Sydney, NSW, Australia Duration: 9 Jul 2001 → 13 Jul 2001

Conference

Conference	2001 International Geoscience and Remote Sensing Symposium (IGARRS 2001)
Country/Territory	Australia
City	Sydney, NSW
Period	9/07/01 → 13/07/01

Cite this

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title = "Markovian methods for SAR image processing",

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.",

author = "Florence Tupin",

year = "2001",

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day = "1",

language = "English",

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note = "2001 International Geoscience and Remote Sensing Symposium (IGARRS 2001) ; Conference date: 09-07-2001 Through 13-07-2001",

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AU - Tupin, Florence

PY - 2001/12/1

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N2 - 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.

AB - 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.

M3 - Paper

AN - SCOPUS:0035575151

SP - 1164

EP - 1166

T2 - 2001 International Geoscience and Remote Sensing Symposium (IGARRS 2001)

Y2 - 9 July 2001 through 13 July 2001

ER -

Markovian methods for SAR image processing

Abstract

Conference

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