Image Time-Series Data Mining based on the Information-Bottleneck Principle

Gueguen, Lionel and Datcu, Mihai (2007) Image Time-Series Data Mining based on the Information-Bottleneck Principle. IEEE Transactions on Geoscience and Remote Sensing, 45 (4), pp. 827-838. doi: 10.1109/TGRS.2006.890557. ISSN 0196-2892.

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Official URL: http://ieeexplore.ieee.org/Xplore/login.jsp?url=/iel5/36/4137841/04137857.pdf?temp=x

Abstract

Image time series can be interpreted on a higher level. We use the information-bottleneck principle to demonstrate our approach.

Item URL in elib:

https://elib.dlr.de/54380/

Document Type:

Article

Title:

Image Time-Series Data Mining based on the Information-Bottleneck Principle

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Gueguen, Lionel	ENST, Paris	UNSPECIFIED	UNSPECIFIED
Datcu, Mihai	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED

Date:

1 April 2007

Journal or Publication Title:

IEEE Transactions on Geoscience and Remote Sensing

Refereed publication:

Yes

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Yes

Volume:

DOI:

10.1109/TGRS.2006.890557

Page Range:

pp. 827-838

Editors:

Editors	Email	Editor's ORCID iD	ORCID Put Code
IEEE,	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED

ISSN:

0196-2892

Status:

Published

Keywords:

remote sensing, images, time series, information-bottleneck principle

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:

Schwarz, Gottfried

Deposited On:

17 Jun 2008

Last Modified:

27 Apr 2009 15:00

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