Maritime ship tracking is a crucial component of maritime surveillance, holding paramount importance in both military and civilian spheres. This study proposes a maritime ship tracking concept utilizing Synthetic Aperture Radar (SAR) constellations, along with a Detection-Matching-Tracking (DMT) implementation strategy. Specifically, we design a novel SAR ship detector capable of locating and segmenting all ships present within image sequences provided by an SAR constellation. Following ship detection, we employ an enhanced two-channel convolutional neural network (2-channel CNN) to perform ship matching between the target ship and potential candidates. Ultimately, based on the matching results, we can plot the space-time trajectory of the tracked ship. The preliminary experiment demonstrates that the proposed methodology is feasible and has the potential to track ships in open seas.
Maritime ship tracking based on SAR constellation: a preliminary implementation
Image and Signal Processing for Remote Sensing XXIX ; 2023 ; Amsterdam, Netherlands
Proc. SPIE ; 12733
2023-10-19
Conference paper
Electronic Resource
English
The GANDER constellation for maritime disaster mitigation
British Library Conference Proceedings | 1999
|The Gander Constellation for Maritime Disaster Mitigation
British Library Conference Proceedings | 1998
|