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Optimized PCA Based Feature Extraction from Multi-look/Multi-resolution TerraSAR-X Data

Chaabouni-Chouayakh, Houda and Datcu, Mihai (2008) Optimized PCA Based Feature Extraction from Multi-look/Multi-resolution TerraSAR-X Data. ESA EUSC 2008: Image Information Mining, 2008-03-04 - 2008-03-06, Frascati, Italy.

Full text not available from this repository.

Official URL: http://earth.esa.int/rtd/Events/ESA-EUSC_2008/Papers/Ar10_Chaabouni.pdf

Abstract

Principal components are a promising tool for for feature extraction from SAR data.

Item URL in elib:https://elib.dlr.de/54554/
Document Type:Conference or Workshop Item (Paper, Poster)
Title:Optimized PCA Based Feature Extraction from Multi-look/Multi-resolution TerraSAR-X Data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Chaabouni-Chouayakh, HoudaUNSPECIFIEDUNSPECIFIED
Datcu, MihaiUNSPECIFIEDUNSPECIFIED
Date:2008
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-6
Status:Published
Keywords:remote sensing, images, SAR, principal components, PCA, feature extraction
Event Title:ESA EUSC 2008: Image Information Mining
Event Location:Frascati, Italy
Event Type:international Conference
Event Dates:2008-03-04 - 2008-03-06
Organizer:ESA
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Bildwissenschaften (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Schwarz, Gottfried
Deposited On:14 Jan 2009
Last Modified:27 Mar 2013 11:26

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