A Complex GMRF for SAR Image Analysis: a Bayesian Appoach

Soccorsi, Matteo and Datcu, Mihai (2007) A Complex GMRF for SAR Image Analysis: a Bayesian Appoach. 7th CNES/DLR Workshop on Information Extraction and Scene Understanding for Meter Resolution Images, 2007-03-28 - 2007-03-30, Oberpfaffenhofen.

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Abstract

For the analysis of SAR images, complex gauss Markov random fields can be used. In our case, we adopt a Bayesian approach.

Item URL in elib:

https://elib.dlr.de/52638/

Document Type:

Conference or Workshop Item (Speech)

Title:

A Complex GMRF for SAR Image Analysis: a Bayesian Appoach

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Soccorsi, Matteo	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Datcu, Mihai	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED

Date:

29 March 2007

Refereed publication:

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

SAR, image analysis, random fields, Gauss-Markov, Bayes

Event Title:

7th CNES/DLR Workshop on Information Extraction and Scene Understanding for Meter Resolution Images

Event Location:

Oberpfaffenhofen

Event Type:

international Conference

Event Start Date:

28 March 2007

Event End Date:

30 March 2007

Organizer:

DLR

HGF - Research field:

Aeronautics, Space and Transport (old)

HGF - Program:

Space (old)

HGF - Program Themes:

W EO - Erdbeobachtung

DLR - Research area:

Space

DLR - Program:

W EO - Erdbeobachtung

DLR - Research theme (Project):

W - Vorhaben Bildwissenschaften (old)

Location:

Oberpfaffenhofen

Institutes and Institutions:

Remote Sensing Technology Institute > Photogrammetry and Image Analysis

Deposited By:

Schwarz, Gottfried

Deposited On:

28 Jan 2008

Last Modified:

24 Apr 2024 19:15

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