Debris cloud of India anti-satellite test to Microsat-R satellite

Jiang, Yu

doi:10.1016/j.heliyon.2020.e04692

Cited by 15 publications

(4 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The recent geomagnetic storm that occurred in February 2022 caused catastrophic damage to Starlink's 40 satellites, as per official reports [33] . Although the company SpaceX stated that there is no threat to active satellites in the low Earth orbit due to Starlink's dead satellites, still the condition is unclear and uncertain, resulting in a financial loss of more than 20 million USD [34] . The anti-satellite tests in recent times have also increased the number of debris in space.…”

Section: Recent Events In Space Debris Generationmentioning

confidence: 99%

A re-examination of the space debris problem using systems thinking

Verma¹,

Gangadhari²,

Pandey³

2023

Space Missn Plann Ope

View full text Add to dashboard Cite

Artificial satellites have enormous advantages, resulting in a massive increase in launches. As of January 2022, approximately 4852 operational satellites were orbiting Earth, assisting humans in communication, technology development, space observation, and earth science. Among the cataloged objects in space, only 20% are operational satellites, with the rest being debris. This debris poses a danger to active satellites and limits the orbital space for new satellite launches. These non-functional, fast-moving debris pieces may trigger collisions and potentially create new fragments of space junk. Most countries striving to exploit outer space have neglected the long-term consequences as explained by the tragedy of the Commons archetype. This study examines how the space race led to the specific issue of orbital debris using a systems thinking approach. Using counter-intuitiveness, causal loop diagrams (CLD), systemigrams, and archetypes as systems thinking methods and concepts to explain the space debris challenge. The systems thinking tools used in this study attempt to highlight the current space debris problem and the lack of a clear policy framework to mitigate the severity of the problem. Even though many private organizations and some space agencies are conceptualizing ideas to remove debris from space, the major issues in resolving this problem are time, cost, and uncertainty. Our findings highlight the importance of addressing the issue at the technological, system engineering, and policy levels.

show abstract

Section: Recent Events In Space Debris Generationmentioning

confidence: 99%

A re-examination of the space debris problem using systems thinking

Verma¹,

Gangadhari²,

Pandey³

2023

Space Missn Plann Ope

View full text Add to dashboard Cite

show abstract

“…Numerous unsettling nonlinear external disturbance torques influences Nano cube satellite attitude angles. In LEO orbits [ 36 ], the large disturbance torques are gravity gradient torque, atmospheric drag torque, solar radiation torque, and residual magnetic dipole torque [ 37 , 38 ]. In which, gravity gradient torque represents a function that describes each irregular body inside the scope of the gravitational field of the earth, interpreted as;

…”

Section: Cubesat Attitude Model With External Perturbationsmentioning

confidence: 99%

Neuro-fuzzy system based proportional derivative gain optimized attitude control of CubeSat under LEO perturbations

Shehzad,

Asghar,

Jaffery

et al. 2023

Heliyon

View full text Add to dashboard Cite

“…As for larger-sized debris, most of them are formed by explosions, including rocket upper stages, auxiliary engines, and satellites. Kinetic anti-satellite (ASAT) weapon tests also generate significant amounts of space debris, and even form a dangerous debris field, increasing the risk of collision with satellites [2,3]. By 2019, more than 139 million pieces of space debris had been detected [4].…”

Section: Introduction 1backgroundmentioning

confidence: 99%

Co-Correcting: Combat Noisy Labels in Space Debris Detection

Niu

Sun

et al. 2022

Remote Sensing

View full text Add to dashboard Cite

Space debris detection is vital to space missions and space situation awareness. Convolutional neural networks are introduced to detect space debris due to their excellent performance. However, noisy labels, caused by false alarms, exist in space debris detection, and cause ambiguous targets for the training of networks, leading to networks overfitting the noisy labels and losing the ability to detect space debris. To remedy this challenge, we introduce label-noise learning to space debris detection and propose a novel label-noise learning paradigm, termed Co-correcting, to overcome the effects of noisy labels. Co-correcting comprises two identical networks, and the predictions of these networks serve as auxiliary supervised information to mutually correct the noisy labels of their peer networks. In this manner, the effect of noisy labels can be mitigated by the mutual rectification of the two networks. Empirical experiments show that Co-correcting outperforms other state-of-the-art methods of label-noise learning, such as Co-teaching and JoCoR, in space debris detection. Even with a high label noise rate, the network trained via Co-correcting can detect space debris with high detection probability.

show abstract

Debris cloud of India anti-satellite test to Microsat-R satellite

Cited by 15 publications

References 26 publications

A re-examination of the space debris problem using systems thinking

A re-examination of the space debris problem using systems thinking

Neuro-fuzzy system based proportional derivative gain optimized attitude control of CubeSat under LEO perturbations

Co-Correcting: Combat Noisy Labels in Space Debris Detection

Contact Info

Product

Resources

About