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Improved multilevel thresholding plot fusion method using the rain algorithm for the detection of closely extended targets

Improved multilevel thresholding plot fusion method using the rain algorithm for the detection of closely extended targets

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Extended targets tracking in sea clutter by the video data of radar has gained a special interest recently. The existing methods are not working well with close targets. Misdetection would arise once the close targets are regarded as a large target or a clutter region. Therefore, a rain algorithm is proposed for this problem by separating the measurements of different targets into clusters. The rain algorithm is inspired by the movement of raindrops fall in the mountains. Raindrops would converge into rivers and the mountains would be separated into individual peaks by the rivers. This phenomenon is available to develop a new algorithm providing what is called ‘rain algorithm’. In the rain algorithm, the raindrops are designed to find the boundary plots between the closely targets. The rivers are regarded as the boundary of targets and each peak equals a target. The rain algorithm is integrated into the multilevel threshold plot fusion method here and the extra computation is affordable. Both real data and simulated data are performed with the proposed method and several recent methods. The results showcase that the proposed method outperforms the others under various sea conditions.

http://iet.metastore.ingenta.com/content/journals/10.1049/iet-spr.2018.5047
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