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Use of automated learning in Remote Sensing: Validation of semantic learning for land use map generation

Lienou, Marie (2009) Use of automated learning in Remote Sensing: Validation of semantic learning for land use map generation. Dissertation.

Full text not available from this repository.

Abstract

Land cover maps can be generated from satellite images using automated lerning.

Document Type:Thesis (Dissertation)
Additional Information:Supervisors: Prof. H. Maitre, Prof. M. Datcu
Title:Use of automated learning in Remote Sensing: Validation of semantic learning for land use map generation
Authors:
AuthorsInstitution or Email of Authors
Lienou, MarieTélecom ParisTech, Paris
Date:2009
Status:Published
Keywords:remote sensing, images, land maps, semantics, learning
Department:Département TSI
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: Gottfried Schwarz
Deposited On:14 Oct 2009 11:39
Last Modified:14 Oct 2009 11:39

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