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Modified Binary Robust Independent Elementary Features for fast Earth Observation Data Analysis

Georgescu, Florin-Andrei and Cas, G and Datcu, Mihai and Raducanu, Dan (2015) Modified Binary Robust Independent Elementary Features for fast Earth Observation Data Analysis. MTA Review, 25 (2), pp. 189-194. Military Technical Academy Publishing House. ISSN 1843-3391

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Official URL: http://www.journal.mta.ro/index.php?m=volumes&id_volum=32&id_articol=216

Abstract

In this paper a new image descriptor based on Binary Robust Independent Elementary Features (BRIEF) is presented. The proposed algorithm uses the mean intensity of predefined regions within the analyzed patch to compute the common binary tests of BRIEF. Therefore our method can be expended for patch classification instead of patch or image matching. This approach is speeding up the descriptor computation for large patches, compared with classical methods as Gabor and Weber Local Descriptors (WLD) but it doesn’t improve the classification performances. As similarity measure we used the Hamming distance. The goal is to demonstrate the usability of this new binary descriptor in Earth Observation image analysis by comparison with standard texture descriptors as Gabor and WLD.

Item URL in elib:https://elib.dlr.de/108143/
Document Type:Article
Title:Modified Binary Robust Independent Elementary Features for fast Earth Observation Data Analysis
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Georgescu, Florin-Andreimilitary technical academy, romaniaUNSPECIFIED
Cas, GUNSPECIFIEDUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Raducanu, Danmilitary technical academy, bucharestUNSPECIFIED
Date:1 June 2015
Journal or Publication Title:MTA Review
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:25
Page Range:pp. 189-194
Editors:
EditorsEmail
UNSPECIFIEDMilitary Technical Academy of Bucharest
Publisher:Military Technical Academy Publishing House
ISSN:1843-3391
Status:Published
Keywords:remote sensing, BRIEF, binary descriptors, image classification
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: Dumitru, Corneliu Octavian
Deposited On:24 Nov 2016 10:49
Last Modified:25 Nov 2016 11:38

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