Cargando…
RGB-D based multi-modal deep learning for spacecraft and debris recognition
Recognition of space objects including spacecraft and debris is one of the main components in the space situational awareness (SSA) system. Various tasks such as satellite formation, on-orbit servicing, and active debris removal require object recognition to be done perfectly. The recognition task i...
Autores principales: | AlDahoul, Nouar, Karim, Hezerul Abdul, Momo, Mhd Adel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8913695/ https://www.ncbi.nlm.nih.gov/pubmed/35273245 http://dx.doi.org/10.1038/s41598-022-07846-5 |
Ejemplares similares
-
Parasitic egg recognition using convolution and attention network
por: AlDahoul, Nouar, et al.
Publicado: (2023) -
Author Correction: Parasitic egg recognition using convolution and attention network
por: AlDahoul, Nouar, et al.
Publicado: (2023) -
Fusion of Appearance and Motion Features for Daily Activity Recognition from Egocentric Perspective
por: Lye, Mohd Haris, et al.
Publicado: (2023) -
Localization and classification of space objects using EfficientDet detector for space situational awareness
por: AlDahoul, Nouar, et al.
Publicado: (2022) -
Design and Implementation of Fast Spoken Foul Language Recognition with Different End-to-End Deep Neural Network Architectures
por: Ba Wazir, Abdulaziz Saleh, et al.
Publicado: (2021)