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Spatio-Temporal Characterization in Satellite Image Time Series

Radoi, Anamaria and Datcu, Mihai (2015) Spatio-Temporal Characterization in Satellite Image Time Series. In: Analysis of Multitemporal Remote Sensing Images (Multi-Temp), 2015 8th International Workshop on the, pp. 1-4. IEEE Xplore. MULTITEMP 2015, 22-24 Jul 2015, Annecy, France. DOI: 10.1109/Multi-Temp.2015.7245805

Full text not available from this repository.

Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7245805&tag=1

Abstract

Last years have witnessed an increased interest in the analysis of evolution of spatio-temporal structures in large data volumes. The current satellite remote sensing missions allow the recording of long Satellite Image Time Series (SITS) with passive and active sensors. However, the spatio-temporal characteristics of SITS imply different approaches. This paper aims at presenting an overview of these issues, and also some recent results based on Gibbs Markov Random Fields models that are used to describe the spatio-temporal patterns. In addition, in order to obtain an automatic analysis of these patterns, the problem of determining the optimal number of spatio-temporal clusters is also discussed. The experiments are carried on Landsat 7 multi-temporal and multi-spectral images and on Envisat ASAR images, both at 30 meters spatial resolution.

Item URL in elib:https://elib.dlr.de/100668/
Document Type:Conference or Workshop Item (Speech)
Title:Spatio-Temporal Characterization in Satellite Image Time Series
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Radoi, AnamariaUniversity Politehnica of Bucharest, Bucharest, RomaniaUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:July 2015
Journal or Publication Title:Analysis of Multitemporal Remote Sensing Images (Multi-Temp), 2015 8th International Workshop on the
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/Multi-Temp.2015.7245805
Page Range:pp. 1-4
Editors:
EditorsEmail
UNSPECIFIEDIEEE Org.
Publisher:IEEE Xplore
Status:Published
Keywords:Markov processes, image processing, remote sensing by radar, sensors, synthetic aperture radar, time series
Event Title:MULTITEMP 2015
Event Location:Annecy, France
Event Type:international Conference
Event Dates:22-24 Jul 2015
Organizer:IEEE Geoscience and Remote Sensing Society
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 By:INVALID USER
Deposited On:11 Dec 2015 17:09
Last Modified:10 May 2016 23:37

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