| 识别SAR图像中车辆和车辆群目标的综合方法 |
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| 引用本文： | 刘洲峰,柏正尧,何佩琨,龙腾. 识别SAR图像中车辆和车辆群目标的综合方法[J]. 系统工程与电子技术, 2004, 26(2): 143-146 |
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| 作者姓名： | 刘洲峰 柏正尧 何佩琨 龙腾 |
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| 作者单位： | 1. 北京理工大学电子工程系,北京,100081;中原工学院电气工程系,河南,郑州,450007
2. 北京理工大学电子工程系,北京,100081 |
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| 基金项目： | 信号采集与处理国家重点实验室基金资助课题 |
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| 摘 要： | 提出了一种对SAR(syntheticapertureradar)图像中的车辆和车辆群目标进行识别的综合方法。它利用SAR图像所具有的统计特性、CFAR检测和数学形态学方法相结合对SAR图像进行预处理和目标分割。找到了一组能够正确表示SAR图像中车辆和车辆群目标的单体不变特征和组合不变特征,给出了相应的目标分类和识别算法、参数选择方法及优化参数。实验证明该方法具有良好的识别效果。
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| 关 键 词： | 图像处理 合成孔径雷达 目标识别 车辆 |
| 文章编号： | 1001-506X(2004)02-0143-04 |
| 修稿时间： | 2002-12-29 |
Synthesis method for recognizing vehicle and vehicle group targets in SAR images |
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| LIU Zhou-feng. Synthesis method for recognizing vehicle and vehicle group targets in SAR images[J]. System Engineering and Electronics, 2004, 26(2): 143-146 |
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| Authors: | LIU Zhou-feng |
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| Affiliation: | LIU Zhou-feng~ |
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| Abstract: | A synthesis method for recognizing vehicle and vehicle group targets in synthetic aperture radar (SAR) images has been given. The pretreatment and target segmentation of SAR images have been achieved by means of the combination of statistic characterization, CFAR detection and morphology of SAR images. A group of individual and combinatorial invariable features which can rightly express vehicle and vehicle group targets in SAR images are found, the corresponding target classifying and recognizing algorithms, the method of parameter selection and the optimal parameters are also given. Experiments have proved that the method possesses good recognition effect. |
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| Keywords: | image processing synthetic aperture radar target recognition vehicle |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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