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Support Vector Machines and Bayesian methods for category-based semantic learning: A search engine for satellite image database

Costache, Mihai and Maitre, Henri and Datcu, Mihai (2008) Support Vector Machines and Bayesian methods for category-based semantic learning: A search engine for satellite image database. 8th DLR-CNES Workshop Image Extraction and Scene Understanding, 2008-10-15 - 2008-10-17, Toulouse.

Full text not available from this repository.

Official URL: http://cct.cnes.fr/cct03/sommaire-public.htm

Abstract

We present adfvanced concepts how a search engine for a satellite image database can be designed.

Item URL in elib:https://elib.dlr.de/57657/
Document Type:Conference or Workshop Item (Speech)
Title:Support Vector Machines and Bayesian methods for category-based semantic learning: A search engine for satellite image database
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Costache, MihaiTELECOM Paris TechUNSPECIFIED
Maitre, HenriTELECOM Paris TechUNSPECIFIED
Datcu, MihaiUNSPECIFIEDUNSPECIFIED
Date:16 October 2008
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:earth observation, images, semantic learning, SVM, Bayes, search engine
Event Title:8th DLR-CNES Workshop Image Extraction and Scene Understanding
Event Location:Toulouse
Event Type:Other
Event Dates:2008-10-15 - 2008-10-17
Organizer:CNES
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 Bildwissenschaften (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Schwarz, Gottfried
Deposited On:19 Jan 2009
Last Modified:27 Apr 2009 15:46

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