Tell a friend
Print
Soledade Matos Amorim, Vinícius (2024) Optimization of Deep Residual Learning Architectures for Interferometric Synthetic Aperture Radar (InSAR) Parameters Estimation. Bachelor's, Instituto Tecnológico de Aeronáutica (ITA), Brazil.
Full text not available from this repository.
| Item URL in elib: | https://elib.dlr.de/194672/ | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Document Type: | Thesis (Bachelor's) | ||||||||
| Title: | Optimization of Deep Residual Learning Architectures for Interferometric Synthetic Aperture Radar (InSAR) Parameters Estimation | ||||||||
| Authors: |
| ||||||||
| Date: | December 2024 | ||||||||
| Journal or Publication Title: | Optimization of Deep Residual Learning Architectures for Interferometric Synthetic Aperture Radar (InSAR) Parameters Estimation | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | No | ||||||||
| Status: | Published | ||||||||
| Keywords: | Synthetic Aperture Radar (SAR), SAR Interferometry (InSAR), TanDEM-X, artificial intelligence, deep residual learning | ||||||||
| Institution: | Instituto Tecnológico de Aeronáutica (ITA), Brazil | ||||||||
| Department: | Electronic Engineering | ||||||||
| 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 > Spaceborne SAR Systems | ||||||||
| Deposited By: | Dell Amore, Luca | ||||||||
| Deposited On: | 17 Apr 2023 06:27 | ||||||||
| Last Modified: | 07 Jan 2025 13:40 |
Repository Staff Only: item control page
