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IEEE Transactions on Geoscience and Remote Sensing, 2022
Object tracking in satellite videos faces various challenges such as target occlusion, target rotation, and background clutter. This study proposes a Correlation particle filter (CPF) algorithm with motion estimation (ME) for object tracking in satellite
Yangfan Li +2 more
semanticscholar +1 more source
Object tracking in satellite videos faces various challenges such as target occlusion, target rotation, and background clutter. This study proposes a Correlation particle filter (CPF) algorithm with motion estimation (ME) for object tracking in satellite
Yangfan Li +2 more
semanticscholar +1 more source
Electronics and Power, 1986
Keeping track of the movement of animals can provide vital research data. A recently developed system uses a lightweight platform transmitter terminal attached to the animal and the Argos environmental data satellite ...
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Keeping track of the movement of animals can provide vital research data. A recently developed system uses a lightweight platform transmitter terminal attached to the animal and the Argos environmental data satellite ...
openaire +2 more sources
Motion-Aware Correlation Filter-Based Object Tracking in Satellite Videos
IEEE Transactions on Geoscience and Remote SensingObject tracking in satellite videos poses a significant challenge for existing trackers due to the typical involvement of small objects, multiple similar disruptors, and occlusions.
Bin Lin +5 more
semanticscholar +1 more source
Target-Aware Transformer for Satellite Video Object Tracking
IEEE Transactions on Geoscience and Remote SensingRecent years have witnessed the astonishing development of transformer-based paradigm in single object tracking (SOT) in generic videos. However, due to the fact that the targets of interest in satellite videos are small in size and weak in visual ...
Pujian Lai +5 more
semanticscholar +1 more source
IETE Journal of Education, 1995
Tracking of a satellite provides the most vital information about its position and its orbit in space. Tracking is very much essential not only during its launch for initial critical maneuvers but even after launch to maintain it in assigned slot in space.
S N Prasad, S Pal, S G Basu
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Tracking of a satellite provides the most vital information about its position and its orbit in space. Tracking is very much essential not only during its launch for initial critical maneuvers but even after launch to maintain it in assigned slot in space.
S N Prasad, S Pal, S G Basu
openaire +1 more source
Segmentation-based orbiting satellite tracking
Proceedings of the 5th International Conference on Multimedia and Image Processing, 2020To obtained the trajectory of an orbiting satellite is a fundamental and vital step for space rendezvous and manipulation by space robots. Due to the freely and rapidly motion of on-orbiting satellites, the sudden change in appearance, orbiting satellite tracking is difficult for traditional tracker, which usually relies on a single bounding box of the
Yunda Sun, Peizhuo Li, Xue Wan
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IEEE Aerospace Conference, 2021
Machine learning for orbit determination of low Earth orbit (LEO) satellites in a simultaneous tracking and navigation (STAN) framework is assessed. STAN is a navigation paradigm that aims to exploit LEO satellites, which are not intended for navigation ...
Trier Mortlock, Z. Kassas
semanticscholar +1 more source
Machine learning for orbit determination of low Earth orbit (LEO) satellites in a simultaneous tracking and navigation (STAN) framework is assessed. STAN is a navigation paradigm that aims to exploit LEO satellites, which are not intended for navigation ...
Trier Mortlock, Z. Kassas
semanticscholar +1 more source
Isprs Journal of Photogrammetry and Remote Sensing, 2021
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-based trackers.
Jie Feng +6 more
semanticscholar +1 more source
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-based trackers.
Jie Feng +6 more
semanticscholar +1 more source
IEEE Transactions on Aerospace and Electronic Systems
This article investigates the satellite constellation scheduling problem for noncooperative space-object tracking. Different from the traditional Earth observation tasks, space-object tracking tasks require observation of fast moving targets that may ...
Hongwei Yang +3 more
semanticscholar +1 more source
This article investigates the satellite constellation scheduling problem for noncooperative space-object tracking. Different from the traditional Earth observation tasks, space-object tracking tasks require observation of fast moving targets that may ...
Hongwei Yang +3 more
semanticscholar +1 more source
HRSiam: High-Resolution Siamese Network, Towards Space-Borne Satellite Video Tracking
IEEE Transactions on Image Processing, 2021Tracking moving objects from space-borne satellite videos is a new and challenging task. The main difficulty stems from the extremely small size of the target of interest. First, because the target usually occupies only a few pixels, it is hard to obtain
Jia Shao +4 more
semanticscholar +1 more source