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Classification of Land Cover Types in TerraSAR-X Images Using Copula and Speckle Statistics

Yao, Wei and Cui, Shiyong and Nies, Holger and Loffeld, Otmar (2014) Classification of Land Cover Types in TerraSAR-X Images Using Copula and Speckle Statistics. In: Proceedings of EUSAR 2014; 10th European Conference on Synthetic Aperture Radar, pp. 1-4. IEEE Xplore. EUSAR 2014, 2014-06-03 - 2014-06-05, Berlin, Germany. ISBN 978-3-8007-3607-2.

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Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6856902&tag=1

Abstract

Land cover classification using high resolution Synthetic Aperture Radar (SAR) images requires well-designed features, as well as suitable classification models. This paper addresses a pixel-based land cover classification problem in high resolution SAR images using speckle statistic and image intensity as features, copula function for joint probability modeling, and Bayesian classifier for classification. The performance of these techniques were analyzed and tested on a three-class database collected from TerraSAR-X High Resolution Spotlight Mode (HS), Geocoded Ellipsoid Corrected (GEC) images, over different cities of North Rhine-Westphalia (NRW), Germany.

Item URL in elib:https://elib.dlr.de/93404/
Document Type:Conference or Workshop Item (Poster)
Title:Classification of Land Cover Types in TerraSAR-X Images Using Copula and Speckle Statistics
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Yao, Weiyao (at) zess.uni-siegen.deUNSPECIFIEDUNSPECIFIED
Cui, Shiyongshiyong.cui (at) dlr.deUNSPECIFIEDUNSPECIFIED
Nies, Holgernies (at) zess.uni-siegen.deUNSPECIFIEDUNSPECIFIED
Loffeld, Otmarloffeld (at) zess.uni-siegen.deUNSPECIFIEDUNSPECIFIED
Date:2014
Journal or Publication Title:Proceedings of EUSAR 2014; 10th European Conference on Synthetic Aperture Radar
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-4
Editors:
EditorsEmailEditor's ORCID iDORCID Put Code
UNSPECIFIEDVDEUNSPECIFIEDUNSPECIFIED
Publisher:IEEE Xplore
ISBN:978-3-8007-3607-2
Status:Published
Keywords:SAR Image Classification
Event Title:EUSAR 2014
Event Location:Berlin, Germany
Event Type:international Conference
Event Start Date:3 June 2014
Event End Date:5 June 2014
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: Cui, Shiyong
Deposited On:10 Dec 2014 16:00
Last Modified:24 Apr 2024 19:59

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