DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

An Active-Learning approach to the query by example retrieval in remote sensing images

Grivei, Alexandru-Cosmin and Radoi, Anamaria and Vaduva, Corina and Datcu, Mihai (2016) An Active-Learning approach to the query by example retrieval in remote sensing images. In: Proceedings of International Conference on Communications (COMM), 2016, pp. 377-380. IEEE Xplore. COMM 2016, 9-10 June 2016, Bucharest, Romania. DOI: 10.1109/ICComm.2016.7528339 ISBN 978-1-4673-8196-3

Full text not available from this repository.

Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7528339


In this paper, we propose an Active Learning approach to query by example retrieval, using a retraining procedure that improves the understanding of the machine with respect to the human perception. The proposed method is based on Support Vector Machine (SVM) classifiers and requires a small number of training samples. The classifier is retrained several times in order to determine the optimal separating hyper-plane between the class of the query and the rest of the analysed image. The closest feature points to the SVM-learned hyper-plane are the points being able to produce the most relevant modification of the position of this hyper-plane. These points, that are both negative and positive examples, are then used to retrain the SVM classifier. In addition, the proposed approach shows the importance of normalization in a classification problem with heterogeneous objects. Several experiments were conducted on GeoEye-1 multispectral images, whilst the retrieval was performed for different patch-level descriptors, which furthermore increases the complexity of the semantic content of the query object.

Item URL in elib:https://elib.dlr.de/108058/
Document Type:Conference or Workshop Item (Speech)
Title:An Active-Learning approach to the query by example retrieval in remote sensing images
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Grivei, Alexandru-CosminUniversity Politehnica BucharestUNSPECIFIED
Radoi, AnamariaUniversity Politehnica BucharestUNSPECIFIED
Vaduva, CorinaUniversity Politehnica BucharestUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:10 June 2016
Journal or Publication Title:Proceedings of International Conference on Communications (COMM), 2016
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
DOI :10.1109/ICComm.2016.7528339
Page Range:pp. 377-380
Publisher:IEEE Xplore
Keywords:GeoEye-1 multispectral Images, SVM
Event Title:COMM 2016
Event Location:Bucharest, Romania
Event Type:international Conference
Event Dates:9-10 June 2016
Organizer:Military Technical Academy, Politehnica University of Bucharest
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:22 Nov 2016 13:58
Last Modified:25 Nov 2016 12:32

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.