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Lidar signal denoising using least-squares support vector machine

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3 Author(s)
Bing-Yu Sun ; Inst. of Intelligent Machines, Chinese Acad. of Sci., Anhui, China ; De-Shuang Huang ; Hai-Tao Fang

The noise in a Lidar signal is analyzed first, and then a novel method that applies least-square support vector machine (LS-SVM) to denoising Lidar signals is proposed. In order to improve the performance of denoising, the a priori knowledge about Lidar signals is also incorporated in the training of the LS-SVM. Finally, the experimental results demonstrate the effectiveness and efficiency of our approach.

Published in:

IEEE Signal Processing Letters  (Volume:12 ,  Issue: 2 )