Ship detection and tracking method for satellite video based on multiscale saliency and surrounding contrast analysis

Haichao Li; Liang Chen; Feng Li; Meiyu Huang

doi:10.1117/1.JRS.13.026511

6 June 2019 Ship detection and tracking method for satellite video based on multiscale saliency and surrounding contrast analysis

Haichao Li, Liang Chen, Feng Li, Meiyu Huang

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Journal of Applied Remote Sensing, Vol. 13, Issue 2, 026511 (June 2019). https://doi.org/10.1117/1.JRS.13.026511

Abstract

In port surveillance, monitoring based on satellite video is a valuable supplement to a ground monitoring system because of its wide monitoring range. Therefore, automatic ship detection and tracking based on satellite video is an important research field. However, because of the small size of ships without texture and the interference of sea noise, it is also a challenging subject. An approach of automatic detection and tracking moving ships of different sizes using satellite video is presented. First, motion compensation between two frames is realized. Then, saliency maps of multiscale differential image are combined to create dynamic multiscale saliency map (DMSM), which is more suitable for the detection of ships of different sizes. Third, candidate motion regions are segmented from DMSM, and moving ships can be detected after the false alarms are removed based on the surrounding contrast. Fourth, important elements such as centroid distance, area ratio, and histogram distance from moving ships are used to perform ship matching. Finally, ship association and tracking are realized by using the intermediate frame in every three adjacent frames. Experimental results on satellite sequences indicate that our method can effectively detect and track ships and obtain the target track, which is superior in terms of the defined recall and precision compared with other classical target tracking methods.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Haichao Li, Liang Chen, Feng Li, and Meiyu Huang "Ship detection and tracking method for satellite video based on multiscale saliency and surrounding contrast analysis," Journal of Applied Remote Sensing 13(2), 026511 (6 June 2019). https://doi.org/10.1117/1.JRS.13.026511

Received: 11 January 2019; Accepted: 10 May 2019; Published: 6 June 2019

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