Paper
21 August 2014 Research of inverse synthetic aperture imaging lidar based on filtered back-projection tomography technique
Zhi-chao Liu, Jin-hua Yang
Author Affiliations +
Proceedings Volume 9233, International Symposium on Photonics and Optoelectronics 2014; 923312 (2014) https://doi.org/10.1117/12.2068003
Event: International Symposium on Photonics and Optoelectronics (SOPO 2014), 2014, Suzhou, China
Abstract
In order to obtain clear two-dimensional image under the conditions without using heterodyne interferometry by inverse synthetic aperture lidar(ISAL), designed imaging algorithms based on filtered back projection tomography technique, and the target “A” was reconstructed with simulation algorithm by the system in the turntable model. Analyzed the working process of ISAL, and the function of the reconstructed image was given. Detail analysis of the physical meaning of the various parameters in the process of echo data, and its parameters affect the reconstructed image. The image in test area was reconstructed by the one-dimensional distance information with filtered back projection tomography technique. When the measured target rotated, the sum of the echo light intensity at the same distance was constituted by the different position of the measured target. When the total amount collected is large enough, multiple equations can be solved change. Filtered back-projection image of the ideal image is obtained through MATLAB simulation, and analyzed that the angle intervals affected the reconstruction of image. The ratio of the intensity of echo light and loss light affected the reconstruction of image was analyzed. Simulation results show that, when the sampling angle is smaller, the resolution of the reconstructed image of measured target is higher. And the ratio of the intensity of echo light and loss light is greater, the resolution of the reconstructed image of measured target is higher. In conclusion after some data processing, the reconstructed image basically meets be effective identification requirements.
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Zhi-chao Liu and Jin-hua Yang "Research of inverse synthetic aperture imaging lidar based on filtered back-projection tomography technique", Proc. SPIE 9233, International Symposium on Photonics and Optoelectronics 2014, 923312 (21 August 2014); https://doi.org/10.1117/12.2068003
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KEYWORDS
Image filtering

Image processing

LIDAR

Sensors

Image quality

Imaging systems

Image restoration

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