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Image Representation Alternatives for the Analysis of Satellite Image Time Series

Dumitru, Corneliu Octavian and Schwarz, Gottfried and Datcu, Mihai (2017) Image Representation Alternatives for the Analysis of Satellite Image Time Series. MultiTemp 2017, 27.-29.Juni, Bruges, Belgium.

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Abstract

Current satellite images and image time series provide us with detailed information about the state of our planet as well as about our technical infrastructure and human activities. These images allow us to learn more about local, regional, and global phenomena and events, including - if interpreted properly - their causes and effects. In particular, image time series provide specific information about the dynamics of many processes implicitly contained in our images that need to be unearthed and investigated in detail. A traditional approach towards this aim is to start with pixel-level or patch-level data analysis for pixel-based image analysis, followed, if necessary, by subsequent feature extraction, clustering, classification and semantic labelling in order to generate various types of change maps on different representation levels. The classification step can be supported by interactive human intervention, or by automated machine learning strategies to identify higher level objects and their spatial and temporal relationships. The detected relationships can then be formulated as parameterized rule sets that create higher-level descriptor sets of the content of the selected images, and of additional external data such as thematic maps or typical dynamics descriptions. As an innovative extension of this traditional concept, we propose a highly automated approach for application-adapted image content exploration and knowledge extraction. The reason for this strategy is the additional amount and the precision of semantic relationships and details that we can assign to an image time series once we know the final application field and how to embed and access image content within knowledge graphs.

Item URL in elib:https://elib.dlr.de/115219/
Document Type:Conference or Workshop Item (Speech)
Title:Image Representation Alternatives for the Analysis of Satellite Image Time Series
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Dumitru, Corneliu OctavianCorneliu.Dumitru (at) dlr.deUNSPECIFIED
Schwarz, GottfriedGottfried.Schwarz (at) dlr.deUNSPECIFIED
Datcu, MihaiMihai.Datcu (at) dlr.deUNSPECIFIED
Date:June 2017
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-4
Status:Published
Keywords:Classification maps; graphs; information content; SAR; semantics
Event Title:MultiTemp 2017
Event Location:Bruges, Belgium
Event Type:international Conference
Event Dates:27.-29.Juni
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: Dumitru, Corneliu Octavian
Deposited On:15 Nov 2017 12:30
Last Modified:21 Nov 2017 16:55

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