Finding a needle in a haystack: Faint and small space object detection in 16-bit astronomical images using a deep learning-based approach

Y Jiang, Y Tang, C Ying - Electronics, 2023 - mdpi.com
With the increasing interest in space science exploration, the number of spacecraft in Earth's
orbit has been steadily increasing. To ensure the safety and operational integrity of active …

The OPS-SAT case: A data-centric competition for onboard satellite image classification

G Meoni, M Märtens, D Derksen, K See, T Lightheart… - Astrodynamics, 2024 - Springer
While novel artificial intelligence and machine learning techniques are evolving and
disrupting established terrestrial technologies at an unprecedented speed, their adaptation …

Convolutional long-short term memory network for space debris detection and tracking

S Chen, H Wang, Z Shen, K Wang, X Zhang - Knowledge-Based Systems, 2024 - Elsevier
Abstract Space debris detection, as space environments become increasingly crowded, has
gradually become a field in urgent need of research. Due to the dim and undersized …

Oriented Clustering Reppoints for Resident Space Objects Detection in Time Delay Integration Images

Z Fu, Y Lei, X Tang, T Xu, G Tian, S Gao… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
The rotation of camera during scanning imaging induces the image degradation, which
means both resident space objects (RSOs) and stars have the same morphological …

Multi-frame temporal dense nested attention method for detecting GEO objects

J Liu, F Yu, Y Yuan, Y Yang - Advances in Space Research, 2024 - Elsevier
The geostationary orbit is a special and important spatial orbital resource. However, space
resident objects in this orbit pose potential threats to space security, characterized as dim …

A Robust Space Target Extraction Algorithm Based on Standardized Correlation Space Construction

H Wang, S Chen, Z Shen, K Wang… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
With the increasing amount of space debris in near-earth space, the surveillance of space
has become more crucial to prevent potential space collisions. In an optical surveillance …

Anomalous Individuals Searching Framework for Space Debris Detection in Single Optical Astronomical Image

H Wang, G Zhang, L Wang, S Chen, Z Shen… - Advances in Space …, 2024 - Elsevier
With the growing concern over space debris, effective space surveillance is significant to
prevent potential collisions. Traditional approaches often design specific algorithms for …

[PDF][PDF] AI SSA Challenge Problem: Satellite Pattern-of-Life Characterization Dataset and Benchmark Suite

PM Siew, HE Solera, TG Roberts, D Jang… - Proceedings of the …, 2023 - amostech.com
With the increasing number of resident space objects (RSOs), it has become imperative to
enhance tracking and orbit prediction capabilities to safeguard space assets from the threat …

Effective multi-frame optical detection algorithm for geo space objects

Y Dai, T Zheng, C Xue, L Zhou - Applied Sciences, 2022 - mdpi.com
Featured Application Space object detection. Abstract The limited resource of Geostationary
Earth Orbit (GEO) is precious and most telecommunication, weather and navigational …

Survey Mode: A Review of Machine Learning in Resident Space Object Detection and Characterization

K Tsaprailis, G Choumos, V Lappas… - AIAA SCITECH 2024 …, 2024 - arc.aiaa.org
The number of Resident Space Objects (RSO) in Earth's orbit has been rising steadily since
the first satellite was launched. The need to protect functioning space assets from collisions …