ARSRNet: accurate space object recognition using optical cross section curves-Reference-Cited by-同舟云学术

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ARSRNet: accurate space object recognition using optical cross section curves

Published:2021-09-30 Issue:28 Volume:60 Page:8956
ISSN:1559-128X
Container-title:Applied Optics
language:en
Short-container-title:Appl. Opt.

Author:

Wang Xia,Huo YuRong^ORCID,Fang YuQiang,Zhang Feng,Wu Yifan

Funder

National Natural Science Foundation of China

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics,Engineering (miscellaneous),Electrical and Electronic Engineering

Reference40 articles.

1. Cooperative space object tracking via multiple space-based visible sensors with communication loss;Jia,2014

2. Cooperative space object tracking using consensus-based filters;Jia,2014

3. Applying cognitive fusion to space situational awareness;Ingram,2017

4. Attaining situational understanding in the space domain;Schiff,2017

5. Enhancing cognitive fusion for space situational awareness;Ingram,2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Space Object Optical Scattering Characteristics Analysis Model Based on Augmented Implicit Neural Representation;Remote Sensing;2024-09-06

2. SCT2G: Model for Fast Satellite Activity Recognition in SDA;IEEE Access;2022

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