Hänsch, Ronny and Jagdhuber, Thomas and Fersch, Benjamin (2020) Soil-Permittivity Estimation Under Grassland Using Machine-Learning and Polarimetric Decomposition Techniques. IEEE Transactions on Geoscience and Remote Sensing, pp. 1-11. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/TGRS.2020.3010104. ISSN 0196-2892.
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Item URL in elib: | https://elib.dlr.de/137906/ | ||||||||||||||||
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Document Type: | Article | ||||||||||||||||
Title: | Soil-Permittivity Estimation Under Grassland Using Machine-Learning and Polarimetric Decomposition Techniques | ||||||||||||||||
Authors: |
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Date: | 6 August 2020 | ||||||||||||||||
Journal or Publication Title: | IEEE Transactions on Geoscience and Remote Sensing | ||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||
Open Access: | No | ||||||||||||||||
Gold Open Access: | No | ||||||||||||||||
In SCOPUS: | Yes | ||||||||||||||||
In ISI Web of Science: | Yes | ||||||||||||||||
DOI: | 10.1109/TGRS.2020.3010104 | ||||||||||||||||
Page Range: | pp. 1-11 | ||||||||||||||||
Publisher: | IEEE - Institute of Electrical and Electronics Engineers | ||||||||||||||||
ISSN: | 0196-2892 | ||||||||||||||||
Status: | Published | ||||||||||||||||
Keywords: | Permittivity, Synthetic aperture radar, Maximum likelihood estimation, Soil moisture, Scattering | ||||||||||||||||
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 Microwaves and Radar Institute > SAR Technology | ||||||||||||||||
Deposited By: | Jagdhuber, Dr Thomas | ||||||||||||||||
Deposited On: | 25 Nov 2020 17:40 | ||||||||||||||||
Last Modified: | 28 Mar 2023 23:57 |
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