Dim Space Target Detection via Convolutional Neural Network in Single Optical Image

Real-time dim space target detection is a significant challenge in space situation awareness. This paper proposes a single-frame space object segmentation and detection method based on deep learning. Firstly, Channel and Space Attention U-net (CSAU-Net) is presented based on space image features. We...

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Detalles Bibliográficos
Main Authors: Xiangji Guo, Tao Chen, Junchi Liu, Yuan Liu, Qichang An
Formato: Artigo
Idioma:Inglês
Publicado: IEEE 2022-01-01
Series:IEEE Access
Assuntos:
Convolutional neural networks
semantic segmentation
dim space target detection
connected component labeling
Acceso en liña:https://ieeexplore.ieee.org/document/9771446/
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