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Proceedings Paper

A ship detection and tracking method with time sequential shipborne radar imagery
Author(s): Weigen Huang; Bin Liu; Xianwen Ding; Huaguo Zhang
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Paper Abstract

Ship detection and tracking is significant to the safe navigation, harbor surveillance and naval defence. In practice, the ship cannot be properly detected and tracked due to the influence of the ambient or its moving attitude on its echo in some images of the sequence. To solve this problem, we proposed a method for ship detection and tracking with time sequential shipborne radar imagery. The method consists of the Kalman filter and the correlation matching technique. The Kalman filter is used to predict the search areas of the ship in the next frame. The correlation matching technique is applied to extract the position of the ship, which can automatically adjust the parameters of the Kalman filter. If the tracked ship is incapable of detection in current frame, to keep the ship tracking successively, the predicted position obtained by applying the Kalman filter can be used as the current position of the ship. It has been tested with 46 temporally consecutive X-band shipborne radar images to demonstrate the validity of the method. The result shows that the ship in the shipborne radar images can be properly detected and tracked.

Paper Details

Date Published: 30 October 2009
PDF: 6 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 749553 (30 October 2009); doi: 10.1117/12.831403
Show Author Affiliations
Weigen Huang, Second Institute of Oceanography, State Oceanic Administration (China)
Bin Liu, Second Institute of Oceanography, State Oceanic Administration (China)
Xianwen Ding, Second Institute of Oceanography, State Oceanic Administration (China)
Huaguo Zhang, Second Institute of Oceanography, State Oceanic Administration (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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