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Fouda, Mohamed Sobhy Abdelsalam (2022) Evaluation and implementation of an auto-encoder for compression of satellite images in the ScOSA project. Master's, TU-Berlin.
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Abstract
The thesis evaluates the efficiency of various autoencoder neural networks for image compression regarding satellite imagery. The results highlight the evaluation and implementation of autoencoder architectures and the procedures required to deploy neural networks to reliable embedded devices. The developed autoencoders evaluated, targeting a ZYNQ 7020 FPGA (Field Programmable Gate Array) and a ZU7EV FPGA.
| Item URL in elib: | https://elib.dlr.de/189711/ | ||||||||
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| Document Type: | Thesis (Master's) | ||||||||
| Title: | Evaluation and implementation of an auto-encoder for compression of satellite images in the ScOSA project | ||||||||
| Authors: |
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| Date: | 22 August 2022 | ||||||||
| Refereed publication: | Yes | ||||||||
| Open Access: | Yes | ||||||||
| Number of Pages: | 124 | ||||||||
| Status: | Published | ||||||||
| Keywords: | image-compression, auto-encoder | ||||||||
| Institution: | TU-Berlin | ||||||||
| Department: | Department for Aeronautics and Astronautics | ||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||
| HGF - Program: | Space | ||||||||
| HGF - Program Themes: | Space System Technology | ||||||||
| DLR - Research area: | Raumfahrt | ||||||||
| DLR - Program: | R SY - Space System Technology | ||||||||
| DLR - Research theme (Project): | R - ScOSA Flight Experiment | ||||||||
| Location: | Berlin-Adlershof | ||||||||
| Institutes and Institutions: | Institute of Optical Sensor Systems > Space Instruments | ||||||||
| Deposited By: | Westerdorff, Karsten | ||||||||
| Deposited On: | 07 Nov 2022 16:48 | ||||||||
| Last Modified: | 07 Nov 2022 16:48 |
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