Noise reduction for lidar returns using self-adaptive wavelet neural network-Reference-Cited by-同舟云学术

Noise reduction for lidar returns using self-adaptive wavelet neural network

Published:2017-05-02 Issue:3 Volume:24 Page:416-427
ISSN:1340-6000
Container-title:Optical Review
language:en
Short-container-title:Opt Rev

Author:

Qin Xuezhen,Mao Jiandong

Funder

National Natural Science Foundation of China

the Leading Talents of Scientific and Technological Innovation of Ningxia

the West Light Talent Plan of the Chinese Academy of Sciences

the Key Scientific Research Project of Beifang University of Nationalitiesnnnn

the Scientific Research Project of Beifang University of Nationalities

Publisher

Springer Science and Business Media LLC

Subject

Atomic and Molecular Physics, and Optics

Link

http://link.springer.com/article/10.1007/s10043-017-0337-8/fulltext.html

Reference22 articles.

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2. Wei, H.: Study of the method of lidar-return signal processing and detection, pp. 1–9. University of Electronic Science and Technology of China, Chengdu (2003)

3. Zengdong, L., Jianguo, L., Yihuai, L., et al.: Noise reduction in lidar signal based on EMD. Opto-Electronic Eng. 35, 79–83 (2008)

4. Awei, Z.: Study of Mie lidar signal processing and visualization technology, pp. 3–4. Xi’an University of Technology, Xi’an (2008)

5. Xiwen, Q., Hui, Z., Qinfen, T., et al.: Atmospheric attenuation effect of lidar signal. J. Appl. Opt. 21, 21–25 (2000)

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