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Machine Learning-Based Paradigm for Boosting the Semantic Annotation of EO Images

Dumitru, Corneliu Octavian and Schwarz, Gottfried and Karmakar, Chandrabali and Datcu, Mihai (2021) Machine Learning-Based Paradigm for Boosting the Semantic Annotation of EO Images. In: International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1-4. IGARSS 2021, 11.-16. July 2021, Brussels, Belgium.

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Official URL: https://igarss2021.com/view_paper.php?PaperNum=3147


In this paper, we describe an innovative content annotation method for high-resolution Synthetic Aperture Radar (SAR) images generating routinely user-defined semantic labels for sequences of small contiguous image patches, while the full surface areas of our images cover hundreds of km in width and length. Based on this method, we are able to generate a sea-ice dataset that is used in projects to validate the developed machine learning methods.

Item URL in elib:https://elib.dlr.de/142804/
Document Type:Conference or Workshop Item (Poster)
Title:Machine Learning-Based Paradigm for Boosting the Semantic Annotation of EO Images
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Dumitru, Corneliu OctavianCorneliu.Dumitru (at) dlr.deUNSPECIFIED
Schwarz, GottfriedGottfried.Schwarz (at) dlr.deUNSPECIFIED
Karmakar, ChandrabaliChandrabali.Karmakar (at) dlr.deUNSPECIFIED
Datcu, MihaiMihai.Datcu (at) dlr.deUNSPECIFIED
Date:July 2021
Journal or Publication Title:International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-4
Keywords:Active learning, benchmarks, Sentinel-1 data, ice types.
Event Title:IGARSS 2021
Event Location:Brussels, Belgium
Event Type:international Conference
Event Dates:11.-16. July 2021
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 - Artificial Intelligence
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Dumitru, Corneliu Octavian
Deposited On:24 Jun 2021 12:43
Last Modified:09 Aug 2021 13:18

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