SAR Change Detection in a General Case Using Normalized Compression Distance
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...
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ftdlr:oai:elib.dlr.de:130271 2024-05-19T07:41:20+00:00 SAR Change Detection in a General Case Using Normalized Compression Distance Dax, Gabriel Dumitru, Corneliu Octavian Schwarz, Gottfried Datcu, Mihai 2019-10 application/pdf https://elib.dlr.de/130271/ https://elib.dlr.de/130271/1/Dax_TSX.pdf https://tandemx-science.dlr.de/cgi-bin/wcm.pl?page=Tdm-Science-Team-Meeting en eng https://elib.dlr.de/130271/1/Dax_TSX.pdf Dax, Gabriel und Dumitru, Corneliu Octavian und Schwarz, Gottfried und Datcu, Mihai (2019) SAR Change Detection in a General Case Using Normalized Compression Distance. TerraSAR-X Science Team Meeting 2019, 2019-10-21 - 2019-10-24, Oberpfaffenhofen, Germany. EO Data Science Konferenzbeitrag NonPeerReviewed 2019 ftdlr 2024-04-25T00:51:33Z 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. Conference Object Greenland German Aerospace Center: elib - DLR electronic library |
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German Aerospace Center: elib - DLR electronic library |
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English |
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EO Data Science |
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EO Data Science Dax, Gabriel Dumitru, Corneliu Octavian Schwarz, Gottfried Datcu, Mihai SAR Change Detection in a General Case Using Normalized Compression Distance |
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EO Data Science |
description |
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. |
format |
Conference Object |
author |
Dax, Gabriel Dumitru, Corneliu Octavian Schwarz, Gottfried Datcu, Mihai |
author_facet |
Dax, Gabriel Dumitru, Corneliu Octavian Schwarz, Gottfried Datcu, Mihai |
author_sort |
Dax, Gabriel |
title |
SAR Change Detection in a General Case Using Normalized Compression Distance |
title_short |
SAR Change Detection in a General Case Using Normalized Compression Distance |
title_full |
SAR Change Detection in a General Case Using Normalized Compression Distance |
title_fullStr |
SAR Change Detection in a General Case Using Normalized Compression Distance |
title_full_unstemmed |
SAR Change Detection in a General Case Using Normalized Compression Distance |
title_sort |
sar change detection in a general case using normalized compression distance |
publishDate |
2019 |
url |
https://elib.dlr.de/130271/ https://elib.dlr.de/130271/1/Dax_TSX.pdf https://tandemx-science.dlr.de/cgi-bin/wcm.pl?page=Tdm-Science-Team-Meeting |
genre |
Greenland |
genre_facet |
Greenland |
op_relation |
https://elib.dlr.de/130271/1/Dax_TSX.pdf Dax, Gabriel und Dumitru, Corneliu Octavian und Schwarz, Gottfried und Datcu, Mihai (2019) SAR Change Detection in a General Case Using Normalized Compression Distance. TerraSAR-X Science Team Meeting 2019, 2019-10-21 - 2019-10-24, Oberpfaffenhofen, Germany. |
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1799480928251150336 |