Xia, Yuanxin (2022) Deep Learning based Dense Matching Optimization in Remote Sensing. Dissertation, Technical University of Munich.
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Item URL in elib: | https://elib.dlr.de/192168/ | ||||||||
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Document Type: | Thesis (Dissertation) | ||||||||
Title: | Deep Learning based Dense Matching Optimization in Remote Sensing | ||||||||
Authors: |
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Date: | 2022 | ||||||||
Refereed publication: | No | ||||||||
Open Access: | Yes | ||||||||
Number of Pages: | 114 | ||||||||
Status: | Published | ||||||||
Keywords: | Deep learning, dense matching,Semi-Global Matching, disparity | ||||||||
Institution: | Technical University of Munich | ||||||||
Department: | TUM School of Engineering and Design | ||||||||
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 - Optical remote sensing, R - Artificial Intelligence | ||||||||
Location: | Oberpfaffenhofen | ||||||||
Institutes and Institutions: | Remote Sensing Technology Institute > Photogrammetry and Image Analysis | ||||||||
Deposited By: | Tian, Dr Jiaojiao | ||||||||
Deposited On: | 12 Dec 2022 11:50 | ||||||||
Last Modified: | 12 Dec 2022 11:50 |
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