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7717737 
Journal Article 
Optimization of linear signal processing in photon counting lidar using Poisson thinning 
Hayman, M; Stillwell, RA; Spuler, SM 
2020 
No 
Optics Letters
ISSN: 0146-9592
EISSN: 1539-4794 
Optical Soc Amer 
WASHINGTON 
45 
18 
5213-5216 
English 
32932493 
WOS:000577110800066 
Photon counting lidar signals generally require smoothing to suppress random noise. While the process of reducing the resolution of the profile reduces random errors, it can also create systematic errors due to the smearing of high gradient signals. The balance between random and systematic errors is generally scene dependent and difficult to find, because errors caused by blurring are generally not analytically quantified. In this work, we introduce the use of Poisson thinning, which allows optimal selection of filter parameters for a particular scene based on quantitative evaluation criteria. Implementation of the optimization step is relatively simple and computationally inexpensive for most photon counting lidar processing. 
OPTICS LETTERS