Maritime ship tracking based on SAR constellation: a preliminary implementation

Haitao Lang; Lihui Niu; Jialu Li; Wenjing Li; Li Ma

doi:10.1117/12.2678817

19 October 2023 Maritime ship tracking based on SAR constellation: a preliminary implementation

Haitao Lang, Lihui Niu, Jialu Li, Wenjing Li, Li Ma

Proceedings Volume 12733, Image and Signal Processing for Remote Sensing XXIX; 127330T (2023) https://doi.org/10.1117/12.2678817
Event: SPIE Remote Sensing, 2023, Amsterdam, Netherlands

Abstract

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.

Conference Presentation

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Haitao Lang, Lihui Niu, Jialu Li, Wenjing Li, and Li Ma "Maritime ship tracking based on SAR constellation: a preliminary implementation", Proc. SPIE 12733, Image and Signal Processing for Remote Sensing XXIX, 127330T (19 October 2023); https://doi.org/10.1117/12.2678817

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