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Analysis of Satellite Image Time Series Based on Information Bottleneck

Gueguen, Lionel and Le Men, Camille and Datcu, Mihai (2006) Analysis of Satellite Image Time Series Based on Information Bottleneck. In: AIP Conference Proceedings, 872, pp. 367-374. Bayesian Inference and Maximum Entropy Methods in Science and Engineering, 2006-07-08 - 2006-07-13, Paris. ISBN 978-0-7354-0371-6. ISSN 0094-243X

Full text not available from this repository.

Official URL: http://link.aip.org/link/?APCPCS/872/367/1

Abstract

Derived from Information Theory, the Information Bottleneck principle enables us to quantify and qualify the information contained in a signal. This paper presents an algorithm based on the Information Bottleneck principle to analyze Satellite Image Time Series (SITS). The method is composed of a parameter estimation and a model selection.

Document Type:Conference or Workshop Item (Speech, Paper)
Additional Information:doi: 10.1063/1.2423296
Title:Analysis of Satellite Image Time Series Based on Information Bottleneck
Authors:
AuthorsInstitution or Email of Authors
Gueguen, LionelENST, Paris
Le Men, CamilleENST, Paris
Datcu, MihaiUNSPECIFIED
Date:29 November 2006
Journal or Publication Title:AIP Conference Proceedings
Refereed publication:Yes
In ISI Web of Science:No
Volume:872
Page Range:pp. 367-374
Editors:
EditorsEmail
American Institute of Physics, UNSPECIFIED
Series Name:AIP Conf. Proc.
ISSN:0094-243X
ISBN:978-0-7354-0371-6
Status:Published
Keywords:time series, information theory, image segmentation, parameter estimation
Event Title:Bayesian Inference and Maximum Entropy Methods in Science and Engineering
Event Location:Paris
Event Type:international Conference
Event Dates:2006-07-08 - 2006-07-13
Organizer:CNRS
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 > Image Science
Deposited By: Gottfried Schwarz
Deposited On:17 Jun 2008
Last Modified:27 Apr 2009 15:00

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