首页> 外文会议>International Conference on Signal Processing(ICSP'06); 20061116-20; Guilin(CN) >A Novel Method of Landmines Detection Based on Improved SVM
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A Novel Method of Landmines Detection Based on Improved SVM

机译:基于改进SVM的地雷探测新方法

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摘要

To detect landmines in real SAR images, detection process based on PCA and SVM techniques is proposed in this paper. Firstly, a referential deflection-optimal linear-quadratic(DOLQ) detector is presented. Then, the proposed centering PCA+SVM method is developed and compared with the above benchmark. A morphological processing procedure is used to remove the isolated spurious pixels and to form landmine objects in the binary images. Finally, the experimental results show that the novel method can constantly outperform the DOLQ detector in terms of POD(probility of detection) and the SVM method in terms of training and classification times in landmine detection.
机译:为了检测真实SAR图像中的地雷,提出了基于PCA和SVM技术的地雷检测方法。首先,提出了一种参考偏转最优线性二次检波器。然后,开发了提出的居中PCA + SVM方法并将其与上述基准进行比较。形态学处理程序用于去除孤立的虚假像素并在二进制图像中形成地雷物体。最后,实验结果表明,该新方法在地雷检测的训练和分类时间方面,在POD(检测能力)和SVM方法方面可以不断优于DOLQ检测器。

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