Joshi, Sushil Kumar and Baumgartner, Stefan V. and Barros Cardoso da Silva, Andre and Krieger, Gerhard (2019) Range-Doppler Based CFAR Ship Detection with Automatic Training Data Selection. Remote Sensing, 11 (1270). Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs11111270. ISSN 2072-4292.
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Official URL: https://www.mdpi.com/2072-4292/11/11/1270
Item URL in elib: | https://elib.dlr.de/127354/ | ||||||||||||||||||||
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Document Type: | Article | ||||||||||||||||||||
Title: | Range-Doppler Based CFAR Ship Detection with Automatic Training Data Selection | ||||||||||||||||||||
Authors: |
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Date: | 28 May 2019 | ||||||||||||||||||||
Journal or Publication Title: | Remote Sensing | ||||||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||||||
Open Access: | Yes | ||||||||||||||||||||
Gold Open Access: | Yes | ||||||||||||||||||||
In SCOPUS: | Yes | ||||||||||||||||||||
In ISI Web of Science: | Yes | ||||||||||||||||||||
Volume: | 11 | ||||||||||||||||||||
DOI: | 10.3390/rs11111270 | ||||||||||||||||||||
Publisher: | Multidisciplinary Digital Publishing Institute (MDPI) | ||||||||||||||||||||
Series Name: | MDPI Ocean Remote Sensing | ||||||||||||||||||||
ISSN: | 2072-4292 | ||||||||||||||||||||
Status: | Published | ||||||||||||||||||||
Keywords: | Synthetic aperture radar (SAR), clutter, target detection, oceanography | ||||||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||
HGF - Program: | Transport | ||||||||||||||||||||
HGF - Program Themes: | Road Transport | ||||||||||||||||||||
DLR - Research area: | Transport | ||||||||||||||||||||
DLR - Program: | V ST Straßenverkehr | ||||||||||||||||||||
DLR - Research theme (Project): | V - D.MoVe (old) | ||||||||||||||||||||
Location: | Oberpfaffenhofen | ||||||||||||||||||||
Institutes and Institutions: | Microwaves and Radar Institute > Radar Concepts | ||||||||||||||||||||
Deposited By: | Joshi, Sushil Kumar | ||||||||||||||||||||
Deposited On: | 09 May 2019 13:56 | ||||||||||||||||||||
Last Modified: | 28 Feb 2024 16:31 |
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