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C S Gardner, J D Shelton

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Shot noise limits lidar resolution. A new 2-D signal processing technique using spatial and temporal filtering significantly enhances lidar data resolution by reducing noise, applicable to various lidar systems.

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Area of Science:

Atmospheric physics
Optical sensing technologies
Signal processing

Background:

Shot noise fundamentally limits the spatial and temporal resolution of lidar photocount data.
Existing lidar data analysis methods struggle to overcome these resolution constraints.

Purpose of the Study:

To introduce and evaluate a novel 2-D signal-processing technique for lidar data.
To demonstrate the technique's ability to reduce shot noise and improve spatial resolution.

Main Methods:

A 2-D signal-processing approach employing spatial and temporal filtering was developed.
The technique was applied to sodium lidar data acquired in Urbana, Illinois.

Main Results:

Temporal filtering demonstrated a significant enhancement in the spatial resolution of sodium profiles.
Shot noise was reduced by over 10 dB, leading to improved data quality.

Conclusions:

The developed 2-D signal-processing technique effectively mitigates shot noise in lidar data.
This method offers broad applicability for improving the resolution of diverse lidar datasets.