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 …

Satellite video cameras can provide continuous observation for a large-scale area, which is
important for many remote sensing applications. However, achieving moving object …

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

Forecasting traffic congestion patterns in lane-less traffic scenarios is a complex task
because of the combination of high & irregular vehicle densities, fluctuating speeds, and the …

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 …

Moving object detection (MOD) in satellite videos remains challenging due to the extremely
small size of the interested targets and the highly complex background. Both the intra-frame …

Deep learning methods have achieved the state-of-the-art performance of object detection
and tracking in natural images, such as keypoint-based detectors and appearance/motion …

In satellite videos, moving vehicles are extremely small-sized and densely clustered in vast
scenes. Anchor-free detectors offer great potential by predicting the keypoints and …

Intelligent processing of satellite video focuses on extracting specific information of ground
objects and scenes from earth observation videos through intelligent image/video …