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Complex-valued Markov Random Field Based Feature Extraction for InSAR Images

Cagatay, Nazli Deniz and Datcu, Mihai (2014) Complex-valued Markov Random Field Based Feature Extraction for InSAR Images. In: Proceedings of EUSAR 2014; 10th European Conference on Synthetic Aperture Radar, pp. 620-623. VDE Verlag. EUSAR 2014, 03-05 June 2014, Berlin, Germany. ISBN 978-3-8007-3607-2

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Official URL: https://www.vde-verlag.de/proceedings-en/453607161.html

Abstract

In this paper, complex-valued Markov random field (CMRF) parameters, namely the interaction strength and variance, which have been previously used for noise reduction in interferograms, are proposed for feature extraction from interferometric SAR (InSAR) images. A comparative performance evaluation has been carried out for feature extraction from InSAR and single-look complex (SLC) SAR images. A patch-based classification is performed for a small database of 3 forest classes. Also, a single image is tiled into small patches and unsupervised clustering is performed. The results are compared to that of another MRF-based complex-valued feature vector which consists of complex-mean and covariances.

Item URL in elib:https://elib.dlr.de/94354/
Document Type:Conference or Workshop Item (Poster)
Title:Complex-valued Markov Random Field Based Feature Extraction for InSAR Images
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Cagatay, Nazli DenizDLR GermanyUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:2014
Journal or Publication Title:Proceedings of EUSAR 2014; 10th European Conference on Synthetic Aperture Radar
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 620-623
Editors:
EditorsEmail
UNSPECIFIEDVDE
Publisher:VDE Verlag
ISBN:978-3-8007-3607-2
Status:Published
Keywords:Markov Random Field, InSAR
Event Title:EUSAR 2014
Event Location:Berlin, Germany
Event Type:international Conference
Event Dates:03-05 June 2014
Organizer:VDE
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By:INVALID USER
Deposited On:08 Jan 2015 16:33
Last Modified:31 Jul 2019 19:51

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