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SAR Change Detection in a General Case Using Normalized Compression Distance

Dax, Gabriel and Dumitru, Corneliu Octavian and Schwarz, Gottfried and Datcu, Mihai (2019) SAR Change Detection in a General Case Using Normalized Compression Distance. TerraSAR-X Science Team Meeting 2019, 21.-24. Oct. 2019, Oberpfaffenhofen, Germany.

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Official URL: https://tandemx-science.dlr.de/cgi-bin/wcm.pl?page=Tdm-Science-Team-Meeting

Abstract

During the last decades, natural and human-made disasters had a strong impact on their surrounding areas, and also the development of cities changed the land cover of the affected areas. To detect these changes in a satellite image time series, a parameter-free unsupervised approach using Normalized Compression Distance (NCD) was used to calculate a binary change map. NCD is a distance measure where an extraction of features is not required; instead, this method can calculate the distance between two objects with respect to the context within an image using patches. This approach was used to detect changes in different regions of interest (e.g., the Danube Delta in Romania or Belgica Bank in Greenland) independently of a special scenario or a specific SAR satellite, which enables the use of parameter-free unsupervised change detection for different scenarios.

Item URL in elib:https://elib.dlr.de/130271/
Document Type:Conference or Workshop Item (Poster)
Title:SAR Change Detection in a General Case Using Normalized Compression Distance
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Dax, Gabrielgabriel.dax (at) dlr.deUNSPECIFIED
Dumitru, Corneliu OctavianCorneliu.Dumitru (at) dlr.deUNSPECIFIED
Schwarz, GottfriedGottfried.Schwarz (at) dlr.deUNSPECIFIED
Datcu, MihaiMihai.Datcu (at) dlr.deUNSPECIFIED
Date:October 2019
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Synthetic Aparture Radar, Normalized Compression Distance,Change Detection
Event Title:TerraSAR-X Science Team Meeting 2019
Event Location:Oberpfaffenhofen, Germany
Event Type:international Conference
Event Dates:21.-24. Oct. 2019
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 > EO Data Science
Deposited By: Karmakar, Chandrabali
Deposited On:21 Nov 2019 14:16
Last Modified:05 Dec 2019 17:10

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