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A High Resolution SAR Image Spectral Analysis Framework for Multiple Class Image Mining in Urban Areas

Popescu, Anca and Gavat, Inge and Datcu, Mihai (2012) A High Resolution SAR Image Spectral Analysis Framework for Multiple Class Image Mining in Urban Areas. In: Proceedings of 9th International Conference on Communications 2012 (COMM) , pp. 379-382. EEE Xplore. COMM 2012, 21.-23. Juni 2012, Bucharest, Romania. ISBN 978-1-4577-0057-6 (p) ISSN DOI: 10.1109/ICComm.2012.6262560

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Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6262560

Abstract

Traditional approaches for Synthetic Aperture Radar image mining aim at finding accurate representations and models for specific categories of targets. Usually the task of achieving classifications with large number of classes is left for high resolution multispectral images or polarimetric SAR images, although for the latter the number of discoverable classes is significantly lower. This paper discusses the opportunity to use high-resolution SAR image spectra to obtain an increase in information content that can be extracted from the data, in order to identify a large number of classes directly from SLC images. The discussion features three spectrum processing algorithms, incorporating an information theory method, an approach for spectrum description and a spectrum estimation method. The results show that high-resolution SAR images can be used to obtain a statistical description of high accuracy for urban areas.

Item URL in elib:https://elib.dlr.de/79199/
Document Type:Conference or Workshop Item (Speech, Paper)
Title:A High Resolution SAR Image Spectral Analysis Framework for Multiple Class Image Mining in Urban Areas
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Popescu, AncaUniversity Politehnica Bucharest ,Bucharest, RomaniaUNSPECIFIED
Gavat, IngeUniversity Politehnica Bucharest ,Bucharest, RomaniaUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:9 August 2012
Journal or Publication Title:Proceedings of 9th International Conference on Communications 2012 (COMM)
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 379-382
Editors:
EditorsEmail
UNSPECIFIEDIEEE Org.
Publisher:EEE Xplore
ISSN:DOI: 10.1109/ICComm.2012.6262560
ISBN: 978-1-4577-0057-6 (p)
Status:Published
Keywords:SAR image mining , spectrum analysis , urban area classification
Event Title:COMM 2012
Event Location:Bucharest, Romania
Event Type:international Conference
Event Dates:21.-23. Juni 2012
Organizer:IEEE Org.
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:29 Nov 2012 14:05
Last Modified:30 Nov 2012 08:19

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