Work

Terrain signal photon-extraction algorithm for photon-counting LiDAR based on an adjustable length definition

Year: 2024

Type: article

Abstract: A signal-extraction algorithm for photon-counting LiDAR is proposed to accurately measure mountainous terrain elevation during daylight. The algorithm exponentially scales distances among photons, employs the shortest path length between photons, and applies a maximum between-class variance method to extract the signals from dense connected point clouds. Simulated and advanced topographic altimeter system (ATLAS) data tests show the algorithm's accuracy surpassing 0.9 in high-relief areas during the day. This method utilizes global and local data consistencies to mitigate terrain fluctuations effects and accurately extract mountainous signals improving signal photon extractions in steep topography under varying background photon-counting rates.

Source: Optics Express

DOI: 10.1364/oe.540437

Authors: Rujia Ma, Wei Kong, Ren Liu, Ruikai Xue, Genghua Huang

Institutions: University of Chinese Academy of Sciences, Shanghai Research Center for Quantum Sciences, Yunnan Normal University

Language: English

Topic: Advanced Optical Sensing Technologies

Subfield: Instrumentation

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,270

Funder: National Natural Science Foundation of China