Space Object Recognition With Stacking of CoAtNets Using Fusion of RGB and Depth Images

Space Object Recognition With Stacking of CoAtNets Using Fusion of RGB and Depth Images

Space situational awareness (SSA) system requires recognition of space objects that are varied in sizes, shapes, and types. The space images are challenging because of several factors such as illumination and noise and thus make the recognition task complex. Image fusion is an important area in imag...

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Bibliographic Details
Main Authors: Nouar Aldahoul, Hezerul Abdul Karim, Mhd Adel Momo, Francesca Isabelle Flores Escobara, Myles Joshua Toledo Tan
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
CoAtNet
deep ensemble learning
RGB-D
image fusion
space object classification
Online Access:https://ieeexplore.ieee.org/document/10013363/

Internet

https://ieeexplore.ieee.org/document/10013363/

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