Low Earth Orbit (LEO) satellite network is a cost-efficient way to achieve global covering for
wide-area Internet of Things (IoT). As more and more IoT applications require large amounts …

Integrating Multi-access Edge Computing (MEC) in Low Earth Orbit (LEO) network is an
important way to provide globally seamless low-delay service. In this paper, we consider the …

To tackle the inherent unknown deformation (eg, translation, rotation and scaling) of the
inverse synthetic aperture radar (ISAR) images, a deep polar transformer-circular convolutional …

Constellation configuration design is a prerequisite and critical step in the construction of a
mega-constellation system in low Earth orbit. However, the huge number of satellites and the …

Feature extraction is the key step of Inverse Synthetic Aperture Radar (ISAR) image recognition.
However, limited by the cost and conditions of ISAR image acquisition, it is relatively …

This paper focuses on the trajectory planning that optical satellites approach the geostationary
(GEO) spacecraft and the trajectory planning that the optical satellite flies around the GEO …

The inverse synthetic aperture radar (ISAR) image is a kind of target feature data acquired
by radar for moving targets, which can reflect the shape, structure, and motion information of …

Through the programmable control of the network, the distributed and discrete service
equipment is managed uniformly, and the software-defined network (SDN) effectively improves …

In this paper, a novel method of multiple heterogeneous pre-trained deep convolutional
neural network models (P-DCNN) ensemble with stacking algorithm is proposed, which can …

Many space objects are densely distributed in the geostationary (GEO) band, and the long-term
impact of the collision of GEO spacecraft and space debris on the GEO environment has …