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Open AccessArticle

An Efficient Extended Targets Detection Framework Based on Sampling and Spatio-Temporal Detection

by Bo Yan 1, Na Xu 2, Wenbo Zhao 1, Muqing Li 1 and Luping Xu 1,*
1
School of Aerospace Science and Technology, XIDIAN University, 266 Xinglong Section of Xifeng Road, Xi’an 710126, China
2
School of Life Sciences and Technology, XIDIAN University, 266 Xinglong Section of Xifeng Road, Xi’an 710126, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(13), 2912; https://doi.org/10.3390/s19132912
Received: 16 April 2019 / Revised: 21 June 2019 / Accepted: 21 June 2019 / Published: 1 July 2019
(This article belongs to the Special Issue Sensors In Target Detection)
Excellent performance, real-time and low memory requirement are three vital requirements for target detection in high resolution marine radar system. Unfortunately, many current state-of-the-art methods merely achieve excellent performance when coping with highly complex scenes. In fact, a common problem is that real-time processing, low memory requirement and remarkable detection ability are difficult to coordinate. To address this issue, we propose a novel detection framework which bases its principle on sampling and spatiotemporal detection. The framework consists of two stages, coarse detection and fine detection. Sampling-based coarse detection is designed to guarantee the real-time processing and low memory requirements by locating the area where targets may exist in advance. Different from former detection methods, multi-scan video data are utilized. In the stage of fine detection, the candidate areas are grouped into three categories: single target, dense targets and sea clutter. Different approaches for processing the different categories are implemented to achieve excellent performance. The superiority of the proposed framework beyond state-of-the-art baselines is well substantiated in this work. Low memory requirement of the proposed framework was verified by theoretical analysis. Real-time processing capability was verified by the video data of two real scenarios. Synthetic data were tested to show the improvement in tracking performance by using the proposed detection framework. View Full-Text
Keywords: marine radar system; target detection; extended target; clutter suppression marine radar system; target detection; extended target; clutter suppression
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Yan, B.; Xu, N.; Zhao, W.; Li, M.; Xu, L. An Efficient Extended Targets Detection Framework Based on Sampling and Spatio-Temporal Detection. Sensors 2019, 19, 2912.

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