Waveform LiDAR signal denoising based on connected domains

Abstract

The streak tube imaging light detection and ranging (LiDAR) is a new type of waveform sampling laser imaging radar whose echo signals are stripe images with a high frame rate. In this study, the morphological and statistical characteristics of stripe signals are analyzed in detail. Based on the concept of mathematical morphology denoising, connected domains are constructed in a noise-containing stripe image, and the noise is removed using the difference in connected domains area between signals and noises. It is shown that, for stripe signals, the proposed denoising method is significantly more efficient than Wiener filtering.

Keywords

stripe signal / connected domain / denoising

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Acknowledgements

The authors gratefully acknowledge the financial support from the National Natural Science Foundation of China (Grant No. 11004042), National Key Scientific Instrument and Equipment Development Projects (No. 2012YQ040164), National Key Laboratory of Science and Technology on Tunable laser, Space Science and Technology Fund and Science Funds of Heilongjiang Province (No. F2016015).

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