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《Acta Physica Sinica》 2017-01
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Moving target compressive imaging based on improved row scanning measurement matrix

Wang Pan-Pan;Yao Xu-Ri;Liu Xue-Feng;Yu Wen-Kai;Qiu Peng;Zhai Guang-Jie;Key Laboratory of Electronics and Information Technology for Space Systems, National Space Science Center, Chinese Academy of Sciences;University of Chinese Academy of Sciences;Center for Quantum Technology Research, School of Physics, Beijing Institute of Technology;  
Moving target imaging(MTI) plays an important role in practical applications. How to capture dynamic images of the targets with high qualities has become a hot point of research in the field of MTI. In order to improve the reconstruction quality, a new MTI model based on compressed sensing(CS) is proposed here, by using a sampling protocol of the row-scanning together with a motion measurement matrix constructed by us. It is proved by the simulation and the experimental results that a relatively high quality can be achieved through this approach. Furthermore, an evaluation criterion of reconstructed image is introduced to analyze the relationship between the imaging quality and the moving speed of the target. By contrast, the performance of our algorithm is much better than that of traditional CS algorithm under the same moving speed condition. As a result, it is suggested that our imaging method may have a great application prospect in the earth observation of unmanned aerial vehicles, video monitoring in the product line and other fields.
【Key Words】: compressed sensing moving target imaging row-scanning measurement matrix
【Fund】: 国家重大科学仪器设备开发专项(批准号:2013YQ030595);; 国家高技术研究发展计划(批准号:2013AA122902);; 国家自然科学基金(批准号:61575207);; 中国科学院国防科技创新基金项目(批准号:CXJJ-16S047)资助的课题~~
【CateGory Index】: TP391.41
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