An effective method for filtering laser bathymetry echo signals

Yaxin Liu; Hongsheng Li; Shengguang Liu; Tian Mei; Linlin Zhao; Yunfeng Ma; Weiwei Sun; Yali Zhang

doi:10.1117/12.3038644

22 July 2024 An effective method for filtering laser bathymetry echo signals

Yaxin Liu, Hongsheng Li, Shengguang Liu, Tian Mei, Linlin Zhao, Yunfeng Ma, Weiwei Sun, Yali Zhang

Proceedings Volume 13222, International Conference on Signal Processing and Communication Security (ICSPCS 2024); 132220Y (2024) https://doi.org/10.1117/12.3038644
Event: Third International Conference on Signal Processing and Communication Security (ICSPCS 2024), 2024, Chengdu, China

Abstract

Effective echo signal filtering is a waveform preprocessing step in airborne laser bathymetry. To address the low automation in effective echo filtering, we proposed an echo signal filtering method based on the K-means clustering algorithm. First, bathymetry signals were captured and saved as coarse signals using Matlab software. Subsequently, features such as maximum intensity, location of maximum intensity, and half-peak width were extracted from the coarse signals. Finally, K-means clustering algorithm was used to classify the samples, filtering out noise and abnormal pulse signals. The results show that K-means clustering is feasible for signal filtering, with noise signals filtering accuracy of 99% and abnormal pulse signals filtering accuracy of 95%, achieving standards comparable to manual filtering and significantly improving filtering efficiency. This method can further serve as a method for exploring preprocessing of a large amount of bathymetry signals.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yaxin Liu, Hongsheng Li, Shengguang Liu, Tian Mei, Linlin Zhao, Yunfeng Ma, Weiwei Sun, and Yali Zhang "An effective method for filtering laser bathymetry echo signals", Proc. SPIE 13222, International Conference on Signal Processing and Communication Security (ICSPCS 2024), 132220Y (22 July 2024); https://doi.org/10.1117/12.3038644

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KEYWORDS

Pulse signals

Electronic filtering

Interference (communication)

Signal intensity

Optical filters

Signal filtering

Evolutionary algorithms

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