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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Veröffentlicht in:	arXiv.org 2022-12
Hauptverfasser:	Pauly, Leo, Jamrozik, Michele Lynn, Ortiz Del Castillo, Miguel, Borgue, Olivia, Inder Pal Singh, Mohatashem Reyaz Makhdoomi, Olga-Orsalia Christidi-Loumpasefski, Gaudilliere, Vincent, Martinez, Carol, Rathinam, Arunkumar, Hein, Andreas, Olivares-Mendez, Miguel, Aouada, Djamila
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computer Science - Computer Vision and Pattern Recognition Image acquisition Machine learning Market surveys Performance degradation Physics - Instrumentation and Methods for Astrophysics Space applications Space laboratories Training
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