Zhu Feng, Zhang Qun, Feng Youqian, Luo Ying, Li Kaiming, Liang Bishuai. Compressed sensing identification approach for avian with inverse synthetic aperture lidar[J]. Infrared and Laser Engineering, 2013, 42(1): 256-261.
Citation:
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Zhu Feng, Zhang Qun, Feng Youqian, Luo Ying, Li Kaiming, Liang Bishuai. Compressed sensing identification approach for avian with inverse synthetic aperture lidar[J]. Infrared and Laser Engineering, 2013, 42(1): 256-261.
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Compressed sensing identification approach for avian with inverse synthetic aperture lidar
- 1.
Institute of Information and Navigation,Air Force Engineering University,Xi'an 710077,China;
- 2.
No.93508 Unit of PLA,Beijing 100079,China;
- 3.
Institute of Science,Air Force Engineering University,Xi'an 710051,China
- Received Date: 2012-05-22
- Rev Recd Date:
2012-06-19
- Publish Date:
2013-01-25
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Abstract
It is very significant to detect avian in a real time and identify them exactly. A novel approach of avian detection, imaging and identification was proposed in this paper with inverse synthetic aperture lidar(ISAIL) based on compressed sensing. The proposed approach can be stated as follows. Firstly, the optical heterodyne method and compressed sensing sampling were employed orderly to diminish sampling rate of the avian ISAIL echoes in the range. Secondly, the time-frequency analysis technique was engaged to discriminate the different moving statuses of the bird. What's more, the compressed sensing reconstruction algorithm was utilized to obtain the high resolution two-dimensional image of the bird and the fitting algorithm was used to extract the micro-Doppler feature of the bird. The avian identification and recognition can be executed based on the reconstructed high resolution two-dimensional image and the extracted micro-Doppler feature of the bird. The effectiveness of the proposed approach is validated by the simulation results.
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