梅建新, 段汕, 秦前清. 基于支持向量机的特定目标检测方法[J]. 武汉大学学报 ( 信息科学版), 2004, 29(10): 912-915,932.
引用本文: 梅建新, 段汕, 秦前清. 基于支持向量机的特定目标检测方法[J]. 武汉大学学报 ( 信息科学版), 2004, 29(10): 912-915,932.
MEI Jianxin, DUAN Shan, QIN Qianqing. Method for Special Targets Detection Based on Support Ector Machines[J]. Geomatics and Information Science of Wuhan University, 2004, 29(10): 912-915,932.
Citation: MEI Jianxin, DUAN Shan, QIN Qianqing. Method for Special Targets Detection Based on Support Ector Machines[J]. Geomatics and Information Science of Wuhan University, 2004, 29(10): 912-915,932.

基于支持向量机的特定目标检测方法

Method for Special Targets Detection Based on Support Ector Machines

  • 摘要: 提出了运用支持向量机进行目标检测的方法。通过对航空影像中的军事目标和自然背景两类样本进行学习,支持向量机检测方法建立了针对目标和非目标有效区分的识别模型,该模型能够对航空影像中所有的区域进行快速的检测和识别,检测到所有感兴趣的人造军事目标。试验表明,该方法快速、高效且具备一定的鲁棒性。

     

    Abstract: In the light of the problem that the man-made targets are difficult to detect in the aviation images with complex background, a new method using support vector machines is put forward in this paper. Through training the target and non-target samples, support vector machines method can set up an effective recognition model, which can detect all possible interested man-made targets through scanning all areas in images. Experiments show that this method is rapid, effective and robust.

     

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