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Contextual Descriptors for Scene Classes in Very High Resolution SAR Images

Popescu, Anca and Gavat, Inge and Datcu, Mihai (2012) Contextual Descriptors for Scene Classes in Very High Resolution SAR Images. IEEE Geoscience and Remote Sensing Letters, 9 (1), pp. 80-84. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/LGRS.2011.2160838 ISSN 1545-598X

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Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5975198

Abstract

This paper proposes a feature extraction method for image patches in order to capture the spatial context. The method is based on the characteristics of the spectra of the SAR data, integrating radiometric, geometric, and texture properties of the SAR image patch.

Item URL in elib:https://elib.dlr.de/75042/
Document Type:Article
Title:Contextual Descriptors for Scene Classes in Very High Resolution SAR Images
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Popescu, AncaUniversity Politehnica, BucharestUNSPECIFIED
Gavat, IngeUniversity Politehnica, BucharestUNSPECIFIED
Datcu, MihaiDLRUNSPECIFIED
Date:January 2012
Journal or Publication Title:IEEE Geoscience and Remote Sensing Letters
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:9
DOI :10.1109/LGRS.2011.2160838
Page Range:pp. 80-84
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1545-598X
Status:Published
Keywords: Context , Data models , Databases , Feature extraction , Image resolution , Pixel , Remote sensing
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: Schwarz, Gottfried
Deposited On:05 Mar 2012 13:50
Last Modified:08 Mar 2018 18:30

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