Computer vision applications based on videos often require the detection of moving objects
in their first step. Background subtraction is then applied in order to separate the background …

Onboard information fusion for multisatellites, which is based on spatial computing mode,
can improve the satellites' capability, such as the spatial–temporal coverage, detection …

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

As a new method of Earth observation, video satellite is capable of monitoring specific
events on the Earth's surface continuously by providing high-temporal resolution remote …

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 …

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 …

Satellite remote sensing is undergoing a revolution in terms of sensors and temporal
coverage. The possibility of acquiring earth's surface video from space provides an …

Object detection and classification is important for video surveillance applications. Counting
vehicles like cars, truck and vans is useful for intelligent transportation systems to identify …

As a new method of Earth observation, video satellite can provide high-temporal resolution
remote sensing images for object tracking. Object tracking in satellite videos is promising yet …

Detecting moving objects from ground-based videos is commonly achieved by using
background subtraction (BS) techniques. Low-rank matrix decomposition inspires a set of …