Lidar signal de-noising by singular value decomposition

Huanxue Wang; Jianguo Liu; Tianshu Zhang

doi:10.1117/12.2072683

18 November 2014 Lidar signal de-noising by singular value decomposition

Huanxue Wang, Jianguo Liu, Tianshu Zhang

Proceedings Volume 9299, International Symposium on Optoelectronic Technology and Application 2014: Optical Remote Sensing Technology and Applications; 929910 (2014) https://doi.org/10.1117/12.2072683
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China

Abstract

Signal de-noising remains an important problem in lidar signal processing. This paper presents a de-noising method based on singular value decomposition. Experimental results on lidar simulated signal and real signal show that the proposed algorithm not only improves the signal-to-noise ratio effectively, but also preserves more detail information.

Citation Download Citation

Huanxue Wang, Jianguo Liu, and Tianshu Zhang "Lidar signal de-noising by singular value decomposition", Proc. SPIE 9299, International Symposium on Optoelectronic Technology and Application 2014: Optical Remote Sensing Technology and Applications, 929910 (18 November 2014); https://doi.org/10.1117/12.2072683

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