| 基于组织协同进化分类算法的遥感图像目标识别 |
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| 引用本文： | 刘静,钟伟才,刘芳,焦李成. 基于组织协同进化分类算法的遥感图像目标识别[J]. 信号处理, 2004, 20(3): 277-280 |
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| 作者姓名： | 刘静 钟伟才 刘芳 焦李成 |
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| 作者单位： | 西安电子科技大学雷达信号处理国家重点实验室,西安,710071 |
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| 基金项目： | 国家自然科学基金(批准号:60133010) |
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| 摘 要： | 针对遥感图像目标识别问题,提出了一种基于组织协同进化分类算法的识别方法。它没有复杂的运算,训练和识别速度都很快。对实测遥感图像的实验表明,本文方法性能稳定,优于文献[3]和[4]中基于支撑矢量机的方法,识别率均达到了95％以上,且训练时间非常短,不到1秒钟。
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| 关 键 词： | 组织 分类 协同进化 遥感图像 目标识别 |
| 修稿时间： | 2003-03-24 |
Remote Sensing Target Recognition Based on Organizational Coevolutionary Classification Algorithm |
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| Lin Jing,Zhong Weicai,Lin Fang,Jlao Licheng Key Lab for Radar Signal Processing,Xidian Universitym,Xi'an. Remote Sensing Target Recognition Based on Organizational Coevolutionary Classification Algorithm[J]. Signal Processing(China), 2004, 20(3): 277-280 |
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| Authors: | Lin Jing Zhong Weicai Lin Fang Jlao Licheng Key Lab for Radar Signal Processing Xidian Universitym Xi'an |
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| Affiliation: | Lin Jing,Zhong Weicai,Lin Fang,Jlao Licheng Key Lab for Radar Signal Processing,Xidian Universitym,Xi'an,710071 |
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| Abstract: | An organizational coevolutionary classification algorithm is proposed for remote sensing target recognition. Thismethod has not complex computation, so its computational cost is very low. Experimental results show our method outperformsthe methods proposed in literature [3] and [4], which is based on SVM, and its predictive accuracy is higher than 95%.furthermore, the training the of our method is less than 1 second. |
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| Keywords: | organization classification coevolution remote sensing target recognition |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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