Unsupervised Computer Vision for Aerospace Systems Spacecraft Pose Estimation to Infrastructure Health Monitoring /

This book addresses perception and monitoring challenges in aerospace systems by employing innovative unsupervised learning techniques, thereby providing solutions for scenarios characterized by limited labelled data or dynamic environments. It explores practical methods such as domain adaptation fo...

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Detalles Bibliográficos

Autor principal:	Zhang, Zhaoxiang (Autor)
Autor Corporativo:	SpringerLink (Online service)
Formato:	Electrónico eBook
Lenguaje:	inglés
Publicado:	Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Edición:	1st ed. 2025.
Colección:	Scientific Computation,
Materias:	Computer vision. Aerospace engineering. Astronautics. Machine learning. Artificial intelligence. Computer Vision. Aerospace Technology and Astronautics. Machine Learning. Artificial Intelligence.
Acceso en línea:	https://doi.org/10.1007/978-981-95-0023-9
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