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 Dates: | 2019-07-28 -2019-08-02 | |||||||||
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: | 12 Jan 2020 15:23 |
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