Anglberger, Harald and Speck, Rainer and Neundter, Jörg (2021) Recognition of airplanes in space-borne radar remote sensing. In: Recognition of airplanes in space-borne radar remote sensing
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Abstract
Artificial intelligence (AI) already plays a major role in practical applications of remote sensing, at least in the electrooptical community. In the case of radar sensors, there are still some challenges to overcome through research. This article highlights promising studies for the traditional application of object recognition. These studies incorporate software tools by the German Aerospace Centre and Airbus combined with high-resolution TerraSAR-X radar imagery
Item URL in elib: | https://elib.dlr.de/146550/ | ||||||||||||||||
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Document Type: | Contribution to a Collection | ||||||||||||||||
Title: | Recognition of airplanes in space-borne radar remote sensing | ||||||||||||||||
Authors: |
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Date: | 2021 | ||||||||||||||||
Journal or Publication Title: | Recognition of airplanes in space-borne radar remote sensing | ||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||
Open Access: | No | ||||||||||||||||
Gold Open Access: | No | ||||||||||||||||
In SCOPUS: | No | ||||||||||||||||
In ISI Web of Science: | No | ||||||||||||||||
Status: | Published | ||||||||||||||||
Keywords: | KI, recognition, SAR, Radar, Simulation, AI | ||||||||||||||||
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 - Security-relevant Earth Observation | ||||||||||||||||
Location: | Oberpfaffenhofen | ||||||||||||||||
Institutes and Institutions: | Microwaves and Radar Institute > Reconnaissance and Security | ||||||||||||||||
Deposited By: | Anglberger, Harald | ||||||||||||||||
Deposited On: | 30 Nov 2021 18:46 | ||||||||||||||||
Last Modified: | 30 Nov 2021 18:46 |
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