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Detection of Space Debris and Satellites with Machine Learning

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Mission analysis of space-based small camera for space debris detection

Advances in Space Research
R Melicio, Joel Filho, P Garcia
exaly   +3 more sources

Electromagnetic pinned solitons for space debris detection

Physics of Plasmas, 2023
Electromagnetic “pinned” solitons in the form of stationary nonlinear waves are studied within the framework of an inertial magneto-hydrodynamic model. These structures, that can arise when a charged source moves in a magnetized plasma, have a velocity that is equal to the source velocity and, hence, appear as “pinned” structures that envelope the ...
Abhijit Sen, Rupak Mukherjee, Sharad K. Yadav, Chris Crabtree, Gurudas Ganguli   +4 more
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Space Debris Detection Unit for Spacecrafts

2022 International Conference on Computer Communication and Informatics (ICCCI), 2022
In the 21st century, tackling space debris has become one of the biggest challenges in space Technologies. Based on reports from European Space Agency, around 34,000 objects are found bigger than 10cm poses serious threats to existing space ...
Shoaib Mohammed, Maddela John Surya Teja, Padmavathi Kora, David Ephraim Vunnava, Mudduluru Lokesh   +4 more
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A Multiscale Approach for Space Debris Detection Utilizing Morphological Features

IEEE Transactions on Aerospace and Electronic Systems
Optical image-based space debris detection is crucial for preventing collisions between spacecraft in orbit. However, identifying debris amidst low signal-to-noise ratios with crowded stellar environment remains challenging.
Guiting Chen, Lvjiyuan Jiang, Yunjing Zhang, Jiazhou Geng, Tao Lei 0004, Yi Cui 0007, Jin Zhou, Ping Jing   +7 more
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Design of optical system for space-based space debris detection

Seventh Global Intelligent Industry Conference (GIIC 2024)
Space debris affects the safety of Earth orbit and the detection of space debris is becoming increasingly important. Space-based detection has the advantages of not being affected by weather and being close to each other.
Linlan Liu, Guangzhi Lei, Ming Gao, Hu Wang   +3 more
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Spectrum-Agnostic Space Debris Detection with Autoencoders

2026 International Conference on AI-Driven Smart Systems and Ubiquitous Computing (ICAUC)
The increasing number of objects in Earth’s orbit is raising serious safety concerns for space assets and missions. This paper presents development, analysis and selection of a suitable deep learning framework among U-Net and convolutional autoencoder ...
Shakthi S, Lekshmi R. R
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