Cerra, Daniele and Figueiredo Vaz Pato, Miguel and Carmona, Emiliano and Azimi, Seyedmajid and Tian, Jiaojiao and Bahmanyar, Reza and Kurz, Franz and Vig, Eleonora and Bittner, Ksenia and Henry, Corentin and d'Angelo, Pablo and Müller, Rupert and Alonso, Kevin and Fischer, Peter and Reinartz, Peter (2018) Combining Deep and Shallow Neural Networks with ad hoc Detectors for the Classification of Complex Multi-modal Urban Scenes. In: International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1-4. IGARSS 2018, 2018-07-23 - 2018-07-27, Valencia, Spanien. doi: 10.1109/igarss.2018.8517699.
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Official URL: https://www.igarss2018.org/
| Item URL in elib: | https://elib.dlr.de/120750/ |
|---|---|
| Document Type: | Conference or Workshop Item (Speech) |
| Title: | Combining Deep and Shallow Neural Networks with ad hoc Detectors for the Classification of Complex Multi-modal Urban Scenes |
| Authors: | |
| Date: | July 2018 |
| Journal or Publication Title: | International Geoscience and Remote Sensing Symposium (IGARSS) |
| Refereed publication: | Yes |
| Open Access: | Yes |
| Gold Open Access: | No |
| In SCOPUS: | Yes |
| In ISI Web of Science: | No |
| DOI: | 10.1109/igarss.2018.8517699 |
| Page Range: | pp. 1-4 |
| Status: | Published |
| Keywords: | Neural Networks, ad hoc detectors, Multi-modal urban scenes |
| Event Title: | IGARSS 2018 |
| Event Location: | Valencia, Spanien |
| Event Type: | international Conference |
| Event Start Date: | 23 July 2018 |
| Event End Date: | 27 July 2018 |
| 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 > Photogrammetry and Image Analysis |
| Deposited By: | Zielske, Mandy |
| Deposited On: | 03 Jul 2018 18:25 |
| Last Modified: | 24 Apr 2024 20:24 |
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