Knowledge extraction from Copernicus satellite data
We describe two alternative approaches of how to extract knowledge from high- and medium-resolution Synthetic Aperture Radar (SAR) images of the European Sentinel-1 satellites. To this end, we selected two basic types of images, namely images depicting arctic shipping routes with icebergs, and - in...
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ftdlr:oai:elib.dlr.de:135572 2024-05-19T07:35:50+00:00 Knowledge extraction from Copernicus satellite data Dumitru, Corneliu Octavian Schwarz, Gottfried Datcu, Mihai 2020 application/pdf https://elib.dlr.de/135572/ https://elib.dlr.de/135572/1/Dumitru_2020_IOP_Conf._Ser.__Earth_Environ._Sci._509_012014.pdf https://iopscience.iop.org/article/10.1088/1755-1315/509/1/012014 en eng Institute of Physics (IOP) Publishing https://elib.dlr.de/135572/1/Dumitru_2020_IOP_Conf._Ser.__Earth_Environ._Sci._509_012014.pdf Dumitru, Corneliu Octavian und Schwarz, Gottfried und Datcu, Mihai (2020) Knowledge extraction from Copernicus satellite data. In: 11th International Symposium on Digital Earth, ISDE 2019, 509, 012014_1-012014_2. Institute of Physics (IOP) Publishing. 11th International Symposium on Digital Earth, 2019-09-24 - 2019-09-27, Florence/IT. doi:10.1088/1755-1315/509/1/012014 <https://doi.org/10.1088/1755-1315/509/1/012014>. ISSN 1755-1307. cc_by info:eu-repo/semantics/openAccess EO Data Science Konferenzbeitrag PeerReviewed info:eu-repo/semantics/conferenceObject 2020 ftdlr https://doi.org/10.1088/1755-1315/509/1/012014 2024-04-25T00:53:45Z We describe two alternative approaches of how to extract knowledge from high- and medium-resolution Synthetic Aperture Radar (SAR) images of the European Sentinel-1 satellites. To this end, we selected two basic types of images, namely images depicting arctic shipping routes with icebergs, and - in contrast - coastal areas with various types of land use and human-made facilities. In both cases, the extracted knowledge is delivered as (semantic) categories (i.e., local content labels) of adjacent image patches from big SAR images. Then, machine learning strategies helped us design and validate two automated knowledge extraction systems that can be extended for the understanding of multispectral satellite images. Conference Object Arctic Iceberg* German Aerospace Center: elib - DLR electronic library IOP Conference Series: Earth and Environmental Science 509 012014 |
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German Aerospace Center: elib - DLR electronic library |
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English |
topic |
EO Data Science |
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EO Data Science Dumitru, Corneliu Octavian Schwarz, Gottfried Datcu, Mihai Knowledge extraction from Copernicus satellite data |
topic_facet |
EO Data Science |
description |
We describe two alternative approaches of how to extract knowledge from high- and medium-resolution Synthetic Aperture Radar (SAR) images of the European Sentinel-1 satellites. To this end, we selected two basic types of images, namely images depicting arctic shipping routes with icebergs, and - in contrast - coastal areas with various types of land use and human-made facilities. In both cases, the extracted knowledge is delivered as (semantic) categories (i.e., local content labels) of adjacent image patches from big SAR images. Then, machine learning strategies helped us design and validate two automated knowledge extraction systems that can be extended for the understanding of multispectral satellite images. |
format |
Conference Object |
author |
Dumitru, Corneliu Octavian Schwarz, Gottfried Datcu, Mihai |
author_facet |
Dumitru, Corneliu Octavian Schwarz, Gottfried Datcu, Mihai |
author_sort |
Dumitru, Corneliu Octavian |
title |
Knowledge extraction from Copernicus satellite data |
title_short |
Knowledge extraction from Copernicus satellite data |
title_full |
Knowledge extraction from Copernicus satellite data |
title_fullStr |
Knowledge extraction from Copernicus satellite data |
title_full_unstemmed |
Knowledge extraction from Copernicus satellite data |
title_sort |
knowledge extraction from copernicus satellite data |
publisher |
Institute of Physics (IOP) Publishing |
publishDate |
2020 |
url |
https://elib.dlr.de/135572/ https://elib.dlr.de/135572/1/Dumitru_2020_IOP_Conf._Ser.__Earth_Environ._Sci._509_012014.pdf https://iopscience.iop.org/article/10.1088/1755-1315/509/1/012014 |
genre |
Arctic Iceberg* |
genre_facet |
Arctic Iceberg* |
op_relation |
https://elib.dlr.de/135572/1/Dumitru_2020_IOP_Conf._Ser.__Earth_Environ._Sci._509_012014.pdf Dumitru, Corneliu Octavian und Schwarz, Gottfried und Datcu, Mihai (2020) Knowledge extraction from Copernicus satellite data. In: 11th International Symposium on Digital Earth, ISDE 2019, 509, 012014_1-012014_2. Institute of Physics (IOP) Publishing. 11th International Symposium on Digital Earth, 2019-09-24 - 2019-09-27, Florence/IT. doi:10.1088/1755-1315/509/1/012014 <https://doi.org/10.1088/1755-1315/509/1/012014>. ISSN 1755-1307. |
op_rights |
cc_by info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1088/1755-1315/509/1/012014 |
container_title |
IOP Conference Series: Earth and Environmental Science |
container_volume |
509 |
container_start_page |
012014 |
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1799474859809439744 |