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, 2021-07-11 - 2021-07-16, Brussels, Belgium. doi: 10.1109/igarss47720.2021.9553334.
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Official URL: https://igarss2021.com/view_paper.php?PaperNum=3147
Abstract
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/ | ||||||||||||||||||||
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Document Type: | Conference or Workshop Item (Poster) | ||||||||||||||||||||
Title: | Machine Learning-Based Paradigm for Boosting the Semantic Annotation of EO Images | ||||||||||||||||||||
Authors: |
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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 SCOPUS: | Yes | ||||||||||||||||||||
In ISI Web of Science: | No | ||||||||||||||||||||
DOI: | 10.1109/igarss47720.2021.9553334 | ||||||||||||||||||||
Page Range: | pp. 1-4 | ||||||||||||||||||||
Status: | Published | ||||||||||||||||||||
Keywords: | Active learning, benchmarks, Sentinel-1 data, ice types. | ||||||||||||||||||||
Event Title: | IGARSS 2021 | ||||||||||||||||||||
Event Location: | Brussels, Belgium | ||||||||||||||||||||
Event Type: | international Conference | ||||||||||||||||||||
Event Start Date: | 11 July 2021 | ||||||||||||||||||||
Event End Date: | 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: | 24 Apr 2024 20:42 |
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