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A L2-Norm Regularized Pseudo-Code for Change Analysis in Satellite Image Time Series

Radoi, Anamaria and Datcu, Mihai (2014) A L2-Norm Regularized Pseudo-Code for Change Analysis in Satellite Image Time Series. In: Proceedings, pp. 1-13. First International Workshop on Learning over Multiple Contexts (LMCE 2014), 19. Sep 2014, Nancy, France.

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Official URL: http://users.dsic.upv.es/~flip/LMCE2014/Papers/lmce2014_submission_5.pdf


The continuous progress in the acquisition of high-dimensional information (e.g., satellite image time series, or medical screening) im-plies an efficient characterization of changes that occur in a temporal series of data. A pseudo-encoding technique can be designed to represent the changes between two consecutive moments of time, based on the min-imization of a convex error function which has an analytical solution. The domain transformed feature vectors are grouped into clusters using K-Means. The proposed approach results in a better separation between classes and, thus, in an enhanced characterization of temporal changes. The experiments are done on 5 Landsat multispectral images at 30 me-ters spatial resolution, covering an area of approximately 59 X 51 km2 around Bucharest, Romania.

Item URL in elib:https://elib.dlr.de/94450/
Document Type:Conference or Workshop Item (Speech)
Title:A L2-Norm Regularized Pseudo-Code for Change Analysis in Satellite Image Time Series
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Radoi, AnamariaUniversity Politehnica of Bucharest, RomaniaUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:September 2014
Journal or Publication Title:Proceedings
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-13
Keywords:Domain adaptation, data mining, information retrieval, multitemporal images, satellite image time series
Event Title:First International Workshop on Learning over Multiple Contexts (LMCE 2014)
Event Location:Nancy, France
Event Type:international Conference
Event Dates:19. Sep 2014
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 On:09 Jan 2015 16:36
Last Modified:31 Jul 2019 19:51

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