相关期刊:《Journal of Beijing Institute of Technology》《Frontiers of Information Technology & Electronic Engineering》《Science China(Physics,Mechanics & Astronomy)》《Aerospace China》更多>>
The limited space around the Earth is getting cluttered with leftover fragments from old missions,creating a real challenge.As more satellites are launched,even debris pieces as small as 5 mm must be tracked to avoid ...
A precise dynamic model for towing and removing a defunct satellite with solar panels in orbit using a tethered net often has low computational efficiency owing to the complex contact and collision between the net and...
This study involved simulations and experiments aimed at assessing the efficacy of a tether net in encapsulating space debris.The tether net was modeled as a spring–mass–damper system considering the influence of ae...
In this study,a novel approach based on the U-Net deep neural network for image segmentation is leveraged for real-time extraction of tracklets from optical acquisitions.As in all machine learning(ML)applications,a se...
This work received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No.687295.
An increasing number of objects are being launched into low-Earth orbit.Consequently,to avoid the possibility of future in-orbit collisions space object removal techniques are receiving attention.As one of the most de...
the European Space Agency under the project“Jovian Micrometeoroid Environment Model”(JMEM)(Contract No.4000107249/12/NL/AF)at the University of Oulu,and by the Academy of Finland under the project“Earth and Near-Space System and Environmental Change”.
Jupiter is one of the major targets for planetary exploration,and dust in the Jovian system is of great interest to researchers in the field of planetary science.In this paper,we review the five dust populations outsi...