| 基于支持向量机的特定目标检测方法 |
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| 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. |
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| 作者姓名： | 梅建新 段汕 秦前清 |
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| 作者单位： | 武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号,430079 |
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| 基金项目： | 测绘遥感信息工程国家重点实验室开放研究基金资助项目(020101)。 |
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| 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。
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| 关 键 词： | 支持向量机 模式识别 目标检测 |
| 文章编号： | 1671-8860(2004)09-0912-04 |
Method for Special Targets Detection Based on Support Ector Machines |
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| 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. |
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| Authors: | MEI Jianxin DUAN Shan QIN Qianqing |
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| Institution: | MEI Jianxin 1 DUAN Shan 1 QIN Qianqing 1 |
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| 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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| Keywords: | support vector machines pattern recognition target detection |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
