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Earth-Observation Image Retrieval Based on Content, Semantics, and Metadata

Espinoza-Molina, Daniela and Datcu, Mihai (2013) Earth-Observation Image Retrieval Based on Content, Semantics, and Metadata. IEEE Transactions on Geoscience and Remote Sensing, 51 (11), pp. 5145-5159. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/TGRS.2013.2262232 ISSN 0196-2892

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Official URL: http://ieeexplore.ieee.org

Abstract

Advances in the image retrieval (IR) field have contributed to the elaboration of tools for interactive exploration and extraction of the images from huge archives associating the content of the images with semantic meaning. This paper presents an Earth-observation (EO) IR system based on enriched metadata, semantic annotations, and image content called EO retrieval. EO retrieval generates an EO-data model by using automatic feature extraction, processing the EO product metadata, and defining semantics, which later is fully exploited for supporting complex queries. In order to demonstrate the functionality of the system, we have created a semantic catalog of TerraSAR-X as application scenario. The database is composed of 39 high-resolution TerraSAR-X scenes comprising about 50 000 image patches (160 times 160 pixels) with their feature descriptors, 100 of metadata entries for each scene, and about 330 semantic annotations. Many query examples combining semantics, metadata, and image content for full exploitation of the image database are presented.

Item URL in elib:https://elib.dlr.de/83104/
Document Type:Article
Title:Earth-Observation Image Retrieval Based on Content, Semantics, and Metadata
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Espinoza-Molina, Danieladaniela.espinozamolina (at) dlr.deUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:November 2013
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:51
DOI : 10.1109/TGRS.2013.2262232
Page Range:pp. 5145-5159
Editors:
EditorsEmail
Plaza, Antonio J. University of Extremadura, Caceres, Spain
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:0196-2892
Status:Published
Keywords:Earth observation, image retrieval, semantics, metadata
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:28 Jun 2013 12:07
Last Modified:08 Mar 2018 18:34

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