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A Study of Multi-Sensor Satellite Image Indexing

Dumitru, Corneliu and Cui, Shiyong and Datcu, Mihai (2015) A Study of Multi-Sensor Satellite Image Indexing. In: 2015 Joint Urban Remote Sensing Event (JURSE), pp. 1-4. IEEE Xplore. JURSE 2015, 30 March - 1 April 2015, Lausanne. doi: 10.1109/JURSE.2015.7120458.

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Official URL: Http://www.jurse2015.org/


In the context of earth observation, different sensors have been used to acquire satellite images and it becomes a research topic about how to analyse and use multi-sensor images. In this paper, we carry out a study of multi-sensor satellite image indexing. The goal is to study which kind of satellite image provides more information for classification. To this end, we prepared four datasets covering four typical cities. Each dataset consists of three kinds of images: multispectral and panchromatic images from WoldView-2, Synthetic Aperture Radar (SAR) images from TerraSAR-X satellite. Image indexing is performed at patch level with the same feature extraction method. The indexing is carried out using an active learning system we developed before. A series of independent and joint indexing by combining the features have been performed. Through this study, we found that the indexing accuracy on SAR images is the worst. By contrast, the joint indexing by concatenating the features computed from each kind of image could provide best accuracy. Thus, we conclude that combing information from multi-sensor images could achieve better results than using each kind of image independently.

Item URL in elib:https://elib.dlr.de/99404/
Document Type:Conference or Workshop Item (Speech)
Title:A Study of Multi-Sensor Satellite Image Indexing
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Dumitru, Corneliucorneliu.dumitru (at) dlr.deUNSPECIFIED
Cui, Shiyongshiyong.cui (at) dlr.deUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Journal or Publication Title:2015 Joint Urban Remote Sensing Event (JURSE)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
DOI :10.1109/JURSE.2015.7120458
Page Range:pp. 1-4
EditorsEmailEditor's ORCID iD
Kaiser, ChristianUni Lusanne, SchweizUNSPECIFIED
Publisher:IEEE Xplore
Keywords:WorldView-2, TerraSAR-X, multi-sensor, image indexing, feature extraction,
Event Title:JURSE 2015
Event Location:Lausanne
Event Type:international Conference
Event Dates:30 March - 1 April 2015
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Dumitru, Corneliu Octavian
Deposited On:16 Nov 2015 13:53
Last Modified:31 Jul 2019 19:56

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