Tell a friend
Print
Ghio, Federico (2025) Deep-Learning-basierte Erstellung einer europäischen Waldhöhenkarte aus radarinterferometrischen TanDEM-X Daten. Master's, Politecnico di Milano.
![[img]](https://elib.dlr.de/style/images/fileicons/application_pdf.png) |
PDF
32MB |
| Item URL in elib: | https://elib.dlr.de/204650/ | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Document Type: | Thesis (Master's) | ||||||||
| Title: | Deep-Learning-basierte Erstellung einer europäischen Waldhöhenkarte aus radarinterferometrischen TanDEM-X Daten | ||||||||
| Authors: |
| ||||||||
| Date: | March 2025 | ||||||||
| Open Access: | Yes | ||||||||
| Status: | Published | ||||||||
| Keywords: | sar, spaceborne, tandem-x, interferometry, deep learning, forestry, europe | ||||||||
| Institution: | Politecnico di Milano | ||||||||
| Department: | Department of Aerospace Science and Technology (DAER) | ||||||||
| 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 - AI4SAR | ||||||||
| Location: | Oberpfaffenhofen | ||||||||
| Institutes and Institutions: | Microwaves and Radar Institute Microwaves and Radar Institute > Spaceborne SAR Systems | ||||||||
| Deposited By: | Carcereri, Daniel | ||||||||
| Deposited On: | 07 Jun 2024 10:52 | ||||||||
| Last Modified: | 15 Dec 2025 09:59 |
Repository Staff Only: item control page
