| 基于分块预判断的SAR图像舰船目标检测方法 |
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| 引用本文： | 樊庆聚,计科峰,冷祥光,刘 帅.基于分块预判断的SAR图像舰船目标检测方法[J].太赫兹科学与电子信息学报,2016,14(3):378-384. |
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| 作者姓名： | 樊庆聚 计科峰 冷祥光 刘 帅 |
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| 作者单位： | College of Electronic Science and Engineering，National University of Defense Technology，Changsha Hunan 410073，China,College of Electronic Science and Engineering，National University of Defense Technology，Changsha Hunan 410073，China,College of Electronic Science and Engineering，National University of Defense Technology，Changsha Hunan 410073，China and College of Electronic Science and Engineering，National University of Defense Technology，Changsha Hunan 410073，China |
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| 基金项目： | 国家自然科学基金资助项目(61372163,61331015) |
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| 摘 要： | 由于具有恒虚警和自适应的能力，恒虚警率(CFAR)是应用最为广泛的SAR图像舰船检测算法之一，它在传统的中低分辨力图像中效果较好。但随着合成孔径雷达(SAR)幅宽与分辨力的提高，这种检测方法已不能满足舰船检测的近实时性要求。本文针对高分辨宽幅SAR图像中的舰船检测问题，提出了一种基于分块预判断的SAR图像舰船目标检测方法。该方法首先对SAR图像进行分块，然后利用一个预先训练的支持向量机(SVM)分类器对所有分块进行可能性判断，最后只对判断为存在目标的分块进行能量比检测。基于实测数据的实验表明，本文方法较以往算法在取得较好检测效果的同时，检测效率也有较大提升。
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| 关 键 词： | 合成孔径雷达 舰船检测 分块预判断 支持向量机 信杂比 |
| 收稿时间： | 2015/11/9 0:00:00 |
| 修稿时间： | 2015/12/14 0:00:00 |
A method for SAR ship detection based on block prescreening |
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| FAN Qingju,JI Kefeng,LENG Xiangguang and LIU Shuai.A method for SAR ship detection based on block prescreening[J].Journal of Terahertz Science and Electronic Information Technology,2016,14(3):378-384. |
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| Authors: | FAN Qingju JI Kefeng LENG Xiangguang and LIU Shuai |
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| Abstract: | As its constant false alarm probability and adaptive threshold, Constant False Alarm Rate(CFAR) detection is one of the most widely used algorithms for ship detection in Synthetic Aperture Radar(SAR) images. Though its performance is better in low-resolution SAR images, with the improvement of swath and resolution of SAR, CFAR cannot meet real-time requirements of ship detection. Aiming at ship detection in high resolution wide swath SAR images, a method is proposed for SAR ship detection based on block prescreening. Firstly, the SAR image is divided into blocks followed by a pre-trained SVM (Support Vector Machines) classification. Then blocks containing targets are detected by Signal to Clutter Ratio(SCR) method. Compared to traditional CFAR detection method, experiments based on real data show that the proposed method can achieve better performance with less computation. |
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