| 充分利用SAR图像中动静目标信息检测动目标 |
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| 引用本文： | 陈广东,张长耀,朱岱寅,葛家龙,聂志彪,张绪锦.充分利用SAR图像中动静目标信息检测动目标[J].电子学报,2007,35(6):1207-1211. |
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| 作者姓名： | 陈广东 张长耀 朱岱寅 葛家龙 聂志彪 张绪锦 |
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| 作者单位： | 1. 南京航空航天大学信息科学与技术学院,江苏南京 210016;2. 华东电子工程研究所,安徽合肥 230031 |
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| 基金项目： | 国家自然科学基金，航空基础科学基金 |
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| 摘 要： | 本文结合遗传算法,研究同时利用SAR(Synthetic Aperture Radar)图像中动静目标信息检测动目标的高效算法,进一步揭示单通道SAR/GMTI的潜力.单通道SAR图像中包含着动目标和静止背景信息,在SAR图像方位向信号中,以对称搜索二次相位和对称带通滤波(通带针对动目标频谱)所得两图像模差的绝对值检测动目标,既利用其中的静止背景信息抑制杂波,又利用其中的动目标信息聚焦动目标能量,能获得更好的动目标检测性能.
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| 关 键 词： | 合成孔径雷达 动目标检测 遗传算法 |
| 文章编号： | 0372-2112（2007）06-1207-05 |
| 收稿时间： | 2006-09-11 |
| 修稿时间： | 2006-09-112006-12-16 |
Detecting Moving Targets in a SAR Image According to the Information from Moving Targets and Fixed Background |
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| CHEN Guang-dong,ZHANG Chang-yao,ZHU Dai-yin,GE Jia-long,NIE Zhi-biao,ZHANG Xu-jin.Detecting Moving Targets in a SAR Image According to the Information from Moving Targets and Fixed Background[J].Acta Electronica Sinica,2007,35(6):1207-1211. |
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| Authors: | CHEN Guang-dong ZHANG Chang-yao ZHU Dai-yin GE Jia-long NIE Zhi-biao ZHANG Xu-jin |
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| Affiliation: | 1. College of Information Science and Technology,Nanjing University of Aeronautics and Astronautcs,Nanjing,Jiangsu 210016,China;2. East China Research Institute of Electronic and Engineering,Hefei,Anhui 230031,China |
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| Abstract: | An optimal scheme is provided for the detection of moving objects observed in airborne SAR(Synthetic Aperture Radar) image.Along cross-range direction,the image data pass through a band-pass filter aiming at the frequency spectrum of the moving target and is corrected by subtracting the moving target quadratic phase error.Then,the same data pass through a band-pass filter aiming at the mirror frequency spectrum of the moving target and is corrected by adding the same quadratic phase.Both results are projected to time axis,and the moving target is detected by subtracting the two images’ energy.Combined with genetic algorithm,the effective parameter estimation and high detection speed are achieved.The experimental results verify the effectiveness of the method. |
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| Keywords: | synthetic aperture radar moving target detection genetic algorithm |
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