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Cordier, Hugo (2023) Image-based change detection with deep neural networks for satellite inspection. Student thesis, INSA Lyon, France.
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Abstract
This internship report deals with the topic of change detection in the context of in-orbit satellite inspection. In the imagined scenario, images are taken of a known, possibly damaged target satellite, which are then compared offline on the ground with a reference data set with the aim of identifying geometric changes. The main focus of the work is the investigation of the use of state-of-the-art CNNs for the mentioned task.
| Item URL in elib: | https://elib.dlr.de/200887/ | ||||||||
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| Document Type: | Thesis (Student thesis) | ||||||||
| Title: | Image-based change detection with deep neural networks for satellite inspection | ||||||||
| Authors: |
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| Date: | 2023 | ||||||||
| Refereed publication: | Yes | ||||||||
| Open Access: | No | ||||||||
| Number of Pages: | 41 | ||||||||
| Status: | Published | ||||||||
| Keywords: | Change Detection, DNN, On-Orbit-Servicing, Inspection | ||||||||
| Institution: | INSA Lyon, France | ||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||
| HGF - Program: | Space | ||||||||
| HGF - Program Themes: | Robotics | ||||||||
| DLR - Research area: | Raumfahrt | ||||||||
| DLR - Program: | R RO - Robotics | ||||||||
| DLR - Research theme (Project): | R - Project RICADOS [RO] | ||||||||
| Location: | Berlin-Adlershof | ||||||||
| Institutes and Institutions: | Institute of Optical Sensor Systems Institute of Optical Sensor Systems > Real-Time Data Processing | ||||||||
| Deposited By: | Irmisch, Patrick | ||||||||
| Deposited On: | 12 Dec 2023 10:21 | ||||||||
| Last Modified: | 18 Dec 2023 09:32 |
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