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Knowledge extraction from Copernicus satellite data

Dumitru, Corneliu Octavian and Schwarz, Gottfried and 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. ISSN 1755-1307.

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Official URL: https://iopscience.iop.org/article/10.1088/1755-1315/509/1/012014

Abstract

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.

Item URL in elib:https://elib.dlr.de/135572/
Document Type:Conference or Workshop Item (Poster)
Title:Knowledge extraction from Copernicus satellite data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Dumitru, Corneliu OctavianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schwarz, GottfriedUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Datcu, MihaiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2020
Journal or Publication Title:11th International Symposium on Digital Earth, ISDE 2019
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Volume:509
DOI:10.1088/1755-1315/509/1/012014
Page Range:012014_1-012014_2
Publisher:Institute of Physics (IOP) Publishing
ISSN:1755-1307
Status:Published
Keywords:SAR, semantics, Sentinel-2, land cover, polar areas
Event Title:11th International Symposium on Digital Earth
Event Location:Florence/IT
Event Type:international Conference
Event Start Date:24 September 2019
Event End Date:27 September 2019
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Haschberger, Dr.-Ing. Peter
Deposited On:20 Jul 2020 13:32
Last Modified:24 Apr 2024 20:38

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