| 支持向量机在红外成像自动目标识别中的应用 |
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| 引用本文： | 范彬,冯云松.支持向量机在红外成像自动目标识别中的应用[J].红外技术,2007,29(1):38-41. |
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| 作者姓名： | 范彬 冯云松 |
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| 作者单位： | 解放军电子工程学院,安徽省红外与低温等离子体重点实验室,安徽,合肥,230037;解放军电子工程学院,安徽省红外与低温等离子体重点实验室,安徽,合肥,230037 |
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| 摘 要： | 针对实战中红外成像制导导弹面临的自动目标识别问题,引入支持向量机作为分类器,提出了一种利用二维图像识别三维目标的自动目标识别方法.仿真实验结果表明:该方法能够成功地识别三维空间中任意角度的目标,很好地解决了许多二维识别算法难以解决的三维目标识别问题.并且,该方法比传统识别方法拥有更高的识别率.
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| 关 键 词： | 红外成像 自动目标识别 支持向量机 |
| 文章编号： | 1001-8891（2007）01-0038-04 |
| 修稿时间： | 2006-08-29 |
The Application of the Support Vector Machine in Infared Imaging Automatic Target Recognition |
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| FAN Bin,FENG Yun-Song.The Application of the Support Vector Machine in Infared Imaging Automatic Target Recognition[J].Infrared Technology,2007,29(1):38-41. |
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| Authors: | FAN Bin FENG Yun-Song |
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| Institution: | Key Lab of lnfared and Low Temperature Plasma of Anhui Province, Electronic Engineering Institute, PLA, Heifei Anhui 230037, China |
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| Abstract: | Focusing on the problem of the automatic target recognition meeted by the infared missles in the war,a automatic target recognition method,using many 2-D images to recognize the 3-D target,is proposed.And the Support Vector Machine is used as the classification.The simulation experiment results demonstrate,the method could recognize any angle target in the 3-D space successfully,and solve the 3-D target recognition problem that many 2-D recognition algorithms could not resolve.And the method has a higher recognition ratio than other traditional recognition methods. |
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| Keywords: | infared imaging support vector machine automatic target recognition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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