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Grohnfeldt, Claas (2017) Multi-sensor Data Fusion for Multi- and Hyperspectral Resolution Enhancement Based on Sparse Representations. DLR-Forschungsbericht. 2017-50. Dissertation. Technische Universität München. 201 S. doi: 10.14459/2017md1366768.
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Official URL: http://mediatum.ub.tum.de?id=1366768
| Item URL in elib: | https://elib.dlr.de/114410/ | ||||||
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| Document Type: | Monograph (DLR-Forschungsbericht, Dissertation) | ||||||
| Title: | Multi-sensor Data Fusion for Multi- and Hyperspectral Resolution Enhancement Based on Sparse Representations | ||||||
| Authors: |
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| Date: | 31 August 2017 | ||||||
| Refereed publication: | No | ||||||
| Open Access: | Yes | ||||||
| Gold Open Access: | No | ||||||
| In SCOPUS: | No | ||||||
| In ISI Web of Science: | No | ||||||
| DOI : | 10.14459/2017md1366768 | ||||||
| Number of Pages: | 201 | ||||||
| ISSN: | 1434-8454 | ||||||
| Status: | Published | ||||||
| Keywords: | Data Fusion, Signal Processing, Sparse Representation,, Super-resolution, Remote Sensing, High-performance Computing | ||||||
| Institution: | Technische Universität München | ||||||
| Department: | Signal Processing in Earch Observation | ||||||
| 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 > SAR Signal Processing | ||||||
| Deposited By: | Grohnfeldt, Claas | ||||||
| Deposited On: | 20 Nov 2017 11:00 | ||||||
| Last Modified: | 31 Jul 2019 20:11 |
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