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Mazza, Antonio and Sica, Francescopaolo (2019) Deep Learning Solutions for TanDEM-X based forest classification. In: International Geoscience and Remote Sensing Symposium (IGARSS). IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2019-07-28 - 2019-08-02, Yokohama, Japan.
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| Item URL in elib: | https://elib.dlr.de/127105/ | ||||||||||||
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| Document Type: | Conference or Workshop Item (Poster) | ||||||||||||
| Title: | Deep Learning Solutions for TanDEM-X based forest classification | ||||||||||||
| Authors: |
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| Date: | 2019 | ||||||||||||
| Journal or Publication Title: | International Geoscience and Remote Sensing Symposium (IGARSS) | ||||||||||||
| Refereed publication: | Yes | ||||||||||||
| Open Access: | No | ||||||||||||
| Gold Open Access: | No | ||||||||||||
| In SCOPUS: | Yes | ||||||||||||
| In ISI Web of Science: | No | ||||||||||||
| Status: | Published | ||||||||||||
| Keywords: | Forest classification, InSAR, TanDEM-X, Deep Learning, Convolutional Neural Networks | ||||||||||||
| Event Title: | IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | ||||||||||||
| Event Location: | Yokohama, Japan | ||||||||||||
| Event Type: | international Conference | ||||||||||||
| Event Start Date: | 28 July 2019 | ||||||||||||
| Event End Date: | 2 August 2019 | ||||||||||||
| 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: | Microwaves and Radar Institute > Spaceborne SAR Systems | ||||||||||||
| Deposited By: | Sica, Dr. Francescopaolo | ||||||||||||
| Deposited On: | 09 Apr 2019 07:30 | ||||||||||||
| Last Modified: | 24 Apr 2024 20:30 |
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