Single object tracking (SOT) in satellite video (SV) enables the continuous acquisition of
position and range information of an arbitrary object, showing promising value in remote …

Object detection and tracking are vital in computer vision and visual surveillance, allowing
for the detection, recognition, and subsequent tracking of objects within images or video …

Single-frame infrared small target (SIRST) detection aims at separating small targets from
clutter backgrounds. With the advances of deep learning, CNN-based methods have yielded …

Recent efforts have witnessed remarkable progress in satellite video super-resolution
(SVSR). However, most SVSR methods usually assume the degradation is fixed and known …

Remote sensing (RS) spatiotemporal prediction aims to infer future trends from historical
spatiotemporal data, eg, videos and time-series images, which has a broad application …

Tracking moving targets in satellite videos has attracted wide attention recently. However,
the development of target tracking in satellite videos is much slower than that in general …

Brain-inspired algorithms have become a new trend in next-generation artificial intelligence.
Through research on brain science, the intelligence of remote sensing algorithms can be …

Transformer has shown excellent performance in remote sensing field with long-range
modeling capabilities. Remote sensing video (RSV) moving object detection and tracking …

Video satellites can continuously image large areas and provide dynamic, real-time
monitoring of hotspots and objects. The intelligent processing and analysis of satellite video …

This paper surveys the application and development of Artificial Intelligence (AI) in Satellite
Communication (SatCom) and Non-Terrestrial Networks (NTN). We first present a …