Lessons from a Space Lab: An Image Acquisition Perspective

Lessons from a Space Lab: An Image Acquisition Perspective

The use of deep learning (DL) algorithms has improved the performance of vision-based space applications in recent years. However, generating large amounts of annotated data for training these DL algorithms has proven challenging. While synthetically generated images can be used, the DL models train...

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Bibliographic Details
Main Authors: Leo Pauly, Michele Lynn Jamrozik, Miguel Ortiz del Castillo, Olivia Borgue, Inder Pal Singh, Mohatashem Reyaz Makhdoomi, Olga-Orsalia Christidi-Loumpasefski, Vincent Gaudillière, Carol Martinez, Arunkumar Rathinam, Andreas Hein, Miguel Olivares-Mendez, Djamila Aouada
Format: Article
Language:English
Published: Hindawi Limited 2023-01-01
Series:International Journal of Aerospace Engineering
Online Access:http://dx.doi.org/10.1155/2023/9944614

Internet

http://dx.doi.org/10.1155/2023/9944614

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