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Mining large satellite image repositories using semi-supervised methods

Blanchart, Pierre and Ferecatu, M. and Datcu, Mihai (2011) Mining large satellite image repositories using semi-supervised methods. In: Conference Proceedings, pp. 1585-1588. IEEE. IGARSS 2011, 14.-29. Jul. 2011, Vancouver, Kanada. ISBN 978-1-4577-1003-2 ISSN 2153-6996

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Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6049449&tag=1

Abstract

The increasing number and resolution of earth observation (EO) imaging sensors has had a significant impact on both the acquired image data volume and the information content in images. There is consequently a strong need for highly efficient search tools for EO image databases and for search methods to automatically identify and recognize structures within EO images. In this paper, we present a concept for an earth observation image data mining system mixing an auto-annotation component with a category search engine which combines a generic image class search and an object detection feature.

Item URL in elib:https://elib.dlr.de/73473/
Document Type:Conference or Workshop Item (Speech)
Additional Information:Digital Object Identifier: 10.1109/IGARSS.2011.6049449
Title:Mining large satellite image repositories using semi-supervised methods
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Blanchart, PierreParisTech ParisUNSPECIFIED
Ferecatu, M.CNAM ParisUNSPECIFIED
Datcu, MihaiDLRUNSPECIFIED
Date:26 July 2011
Journal or Publication Title:Conference Proceedings
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1585-1588
Publisher:IEEE
Series Name:IEEE Catalog Number: CFP11IGA-DVD
ISSN:2153-6996
ISBN:978-1-4577-1003-2
Status:Published
Keywords:Active learning , Auto-annotation , Cascade of classifiers , Content-based image retrieval (CBIR) systems, Object detection, Satellite imagery, Semi-supervised methods
Event Title:IGARSS 2011
Event Location:Vancouver, Kanada
Event Type:international Conference
Event Dates:14.-29. Jul. 2011
Organizer:IEEE GRSS
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 hochauflösende Fernerkundungsverfahreen (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Schwarz, Gottfried
Deposited On:02 Jan 2012 10:57
Last Modified:09 Jan 2012 13:14

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