Paper
15 October 2012 Method on echoed signal denoising of bathymetric sounding laser radar
Hua Cheng, Huachuang Wang, Ruijie Nie
Author Affiliations +
Proceedings Volume 8417, 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment; 84172Q (2012) https://doi.org/10.1117/12.975768
Event: 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT 2012), 2012, Xiamen, China
Abstract
As the ladar bathymetry is affected by many factors, its echoed signal contains a lot kinds of noises. There are the interference noise of laser, the clutter noise, the water-reflected noise, the underwater scattered noise, the electric noise and the synoptic disturbance noise after analyzing the echoed signal. Consequently, how to remove noise from the signal and how to accurately extract the useful distance information has the direct bearing on the effect of the ladar bathymetry. On the basis of kinds of noises and the features of the noises, this paper puts forward a echoed signal de-noising method by the way of wavelet decomposition and threshold processing. To begin with, it introduces some kinds of noise. Then, it talks over how to treat with the echoed signal according to the heterogeneities of the signal and the noise. The processing of echoed signal de-noising of ladar bathymetry makes it clear that this method can not only actively suppress the noise, but also effectively abstract the useful signal.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hua Cheng, Huachuang Wang, and Ruijie Nie "Method on echoed signal denoising of bathymetric sounding laser radar", Proc. SPIE 8417, 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 84172Q (15 October 2012); https://doi.org/10.1117/12.975768
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KEYWORDS
Interference (communication)

Signal processing

LIDAR

Wavelets

Signal to noise ratio

Wavelet transforms

Sensors

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