Demonstrating an efficient system for fast processing and visualization of big airborne full-waveform LiDAR data

Author Identifier (ORCID)

Jianxin Li: https://orcid.org/0000-0002-9059-330X

Abstract

Airborne full-waveform LiDAR is crucial for precise shallow-water bathymetry and terrain mapping, providing high-resolution spatial data but generating vast amounts of data that need efficient processing. This paper introduces a data processing method for airborne full-waveform LiDAR based on dual buffering and CPU-GPU heterogeneous collaborative computing. Furthermore, a four-module desktop system is developed. Data from Qingge Port is used in the demo to test the proposed method’s effectiveness and the software’s features.

Keywords

Airborne full-waveform LiDAR, high performance computing

Document Type

Conference Proceeding

Date of Publication

1-1-2026

Volume

16116 LNCS

Publication Title

Lecture Notes in Computer Science

Publisher

Springer

School

School of Business and Law

Funders

National Natural Science Foundation of China (U21A2013)

Comments

Li, K., Li, J., Chbeir, R., Li, L., Zong, C., Zhang, Y., & Zhang, M. (2026). Demonstrating an efficient system for fast processing and visualization of big airborne full-waveform LiDAR data. In J. Li, R. Chbeir, L. Li, C. Zong, Y. Zhang, & M. Zhang (Eds.), Lecture notes in computer science: Vol. 16116. Web and big data (pp. 270–274). Springer. https://doi.org/10.1007/978-981-95-5722-6_25

Copyright

subscription content

First Page

270

Last Page

274

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Link to publisher version (DOI)

10.1007/978-981-95-5722-6_25