DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

High Resolution SAR Classification using Ränyi Entropy Constrained Spectrum Estimates

Popesco, Anca and Datcu, Mihai (2012) High Resolution SAR Classification using Ränyi Entropy Constrained Spectrum Estimates. In: Proceedings of European Conference on Synthetic Aperture Radar (EUSAR), pp. 247-250. VDE Verlag GmbH. EUSAR 2012, 23.-26. Apr. 2012, Nuernberg, Germany. ISBN 978-3-8007-3404-7

Full text not available from this repository.

Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6217040


This paper discusses a feature extraction procedure based on the estimation of spectral components of the complex SAR image for scene classification. The estimation is performed in an iterative manner, using the periodogram of SAR image patches of fixed size. A Ränyi Entropy constraint is introduced in the process of selection of best spectral components for content characterization. Results are presented on a database consisting of 1650 image patches covering urban areas. Results show that by selecting the spectral components that maximize the Ränyi entropy of the spectrum with α=3 can improve the accuracy of the classification.

Item URL in elib:https://elib.dlr.de/79217/
Document Type:Conference or Workshop Item (Speech)
Title:High Resolution SAR Classification using Ränyi Entropy Constrained Spectrum Estimates
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Popesco, AncaUniversity Politehnica Bucharest, RomaniaUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:15 May 2012
Journal or Publication Title:Proceedings of European Conference on Synthetic Aperture Radar (EUSAR)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 247-250
Publisher:VDE Verlag GmbH
Keywords:Approximation methods , Computational modeling , Cost function , Entropy , Estimation , Frequency estimation , Mathematical model
Event Title:EUSAR 2012
Event Location:Nuernberg, Germany
Event Type:international Conference
Event Dates:23.-26. Apr. 2012
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 On:30 Nov 2012 09:05
Last Modified:25 Jun 2014 16:28

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.