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Zhao, Juanping (2020) Research on SAR Image Object/Land Fine Interpretation Methods. Dissertation, Shanghai Jiao Tong University.
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| Item URL in elib: | https://elib.dlr.de/138420/ | ||||||||
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| Document Type: | Thesis (Dissertation) | ||||||||
| Title: | Research on SAR Image Object/Land Fine Interpretation Methods | ||||||||
| Authors: |
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| Date: | July 2020 | ||||||||
| Journal or Publication Title: | Research on SAR Image Object/Land Fine Interpretation Methods | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | Yes | ||||||||
| Number of Pages: | 149 | ||||||||
| Status: | Published | ||||||||
| Keywords: | SAR image, object/land fine interpretation, physical scattering signatures, Convolutional Neural Networks (CNNs), Gaussian Process Regression (GPR) | ||||||||
| Institution: | Shanghai Jiao Tong University | ||||||||
| 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 - SAR methods | ||||||||
| Location: | Oberpfaffenhofen | ||||||||
| Institutes and Institutions: | Remote Sensing Technology Institute > EO Data Science | ||||||||
| Deposited By: | Bratasanu, Ion-Dragos | ||||||||
| Deposited On: | 26 Nov 2020 15:50 | ||||||||
| Last Modified: | 08 Feb 2022 11:57 |
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