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, 2014-06-03 - 2014-06-05, 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/ | ||||||||||||
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Document Type: | Conference or Workshop Item (Poster) | ||||||||||||
Title: | Complex-valued Markov Random Field Based Feature Extraction for InSAR Images | ||||||||||||
Authors: |
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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: |
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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 Start Date: | 3 June 2014 | ||||||||||||
Event End Date: | 5 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 - Earth Observation | ||||||||||||
DLR - Research theme (Project): | R - Vorhaben hochauflösende Fernerkundungsverfahren (old) | ||||||||||||
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: | 24 Apr 2024 20:00 |
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