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Bueso Bello, Jose Luis and Carcereri, Daniel and Martone, Michele and Gonzalez, Carolina and Rizzoli, Paola (2022) Tropical Forests Mapping with TanDEM-X and Deep Learning Methods. In: 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022. International Geoscience and Remote Sensing Symposium (IGARSS), 2022-07-17 - 2022-07-22, Kuala Lumpur, Malaysia. doi: 10.1109/IGARSS46834.2022.9883995. ISBN 978-166542792-0.
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| Item URL in elib: | https://elib.dlr.de/186255/ | ||||||||||||||||||||||||
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| Document Type: | Conference or Workshop Item (Speech, Poster) | ||||||||||||||||||||||||
| Title: | Tropical Forests Mapping with TanDEM-X and Deep Learning Methods | ||||||||||||||||||||||||
| Authors: |
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| Date: | July 2022 | ||||||||||||||||||||||||
| Journal or Publication Title: | 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 | ||||||||||||||||||||||||
| Refereed publication: | Yes | ||||||||||||||||||||||||
| Open Access: | Yes | ||||||||||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||||||||||
| In SCOPUS: | Yes | ||||||||||||||||||||||||
| In ISI Web of Science: | Yes | ||||||||||||||||||||||||
| DOI: | 10.1109/IGARSS46834.2022.9883995 | ||||||||||||||||||||||||
| ISBN: | 978-166542792-0 | ||||||||||||||||||||||||
| Status: | Published | ||||||||||||||||||||||||
| Keywords: | Synthetic Aperture Radar, TanDEM-X, Amazon, forest mapping, deforestation monitoring, deep learning, convolutional neural network | ||||||||||||||||||||||||
| Event Title: | International Geoscience and Remote Sensing Symposium (IGARSS) | ||||||||||||||||||||||||
| Event Location: | Kuala Lumpur, Malaysia | ||||||||||||||||||||||||
| Event Type: | international Conference | ||||||||||||||||||||||||
| Event Start Date: | 17 July 2022 | ||||||||||||||||||||||||
| Event End Date: | 22 July 2022 | ||||||||||||||||||||||||
| 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 - Support TerraSAR-X/TanDEM-X operations | ||||||||||||||||||||||||
| Location: | Oberpfaffenhofen | ||||||||||||||||||||||||
| Institutes and Institutions: | Microwaves and Radar Institute Microwaves and Radar Institute > Spaceborne SAR Systems | ||||||||||||||||||||||||
| Deposited By: | Bueso Bello, Jose Luis | ||||||||||||||||||||||||
| Deposited On: | 02 May 2022 15:00 | ||||||||||||||||||||||||
| Last Modified: | 28 May 2024 10:27 |
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