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Hu, Jingliang (2020) From Remote Sensing Data to Urban Patterns: A Topology Guided Data Fusion Paradigm. Dissertation, TU München.
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| Item URL in elib: | https://elib.dlr.de/137595/ | ||||||||
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| Document Type: | Thesis (Dissertation) | ||||||||
| Title: | From Remote Sensing Data to Urban Patterns: A Topology Guided Data Fusion Paradigm | ||||||||
| Authors: |
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| Date: | July 2020 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | Yes | ||||||||
| Number of Pages: | 190 | ||||||||
| Status: | Published | ||||||||
| Keywords: | Heterogeneous data fusion, Human settlement, Hyperspectral data, Large scale urban classification, Local climate zone, Manifold learning, MIMA, Multispectral data, Optical data, Polarimetric SAR (PolSAR), Semi-supervised manifold learning, Sentinel-1, Sentinel-2, Synthetic aperture radar (SAR), Topological data analysis (TDA) | ||||||||
| Institution: | TU München | ||||||||
| Department: | Fakultät für Luftfahrt, Raumfahrt und Geodäsie | ||||||||
| 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 - Vorhaben hochauflösende Fernerkundungsverfahren (old) | ||||||||
| Location: | Oberpfaffenhofen | ||||||||
| Institutes and Institutions: | Remote Sensing Technology Institute > EO Data Science | ||||||||
| Deposited By: | Hu, Jingliang | ||||||||
| Deposited On: | 18 Nov 2020 12:44 | ||||||||
| Last Modified: | 23 Nov 2020 16:42 |
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