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Geodesy Engineering

Vol. 39 No. 08 (2024): Proceedings of Faculty of Technical Sciences

CLASSIFICATION OF POINT CLOUD USING DEEP LEARNING

  • Галина Јанковић
DOI:
https://doi.org/10.24867/27KG02Jankovic
Submitted
August 5, 2024
Published
2024-08-05

Abstract

This paper describes the process of creating a model of artificial neural network in order to classify point cloud. The model is trained with different input parameters and then tested with different metrics.

References

[1] Saifullahi A. B., Shangshu Y., Cheng W., Jibril M.A., Jonathan L., “Review: Deep Learning on 3D Point Clouds”
[2] Bayu A., Wibisono A., Wisesa H. A., Intizhami N. S., Jatmiko W., Gamal A., “Semantic Segmentation of Lidar Point Cloud in Rural Area”, 2019 IEEE International Conference on Communication, Networks and Satellite
[3] https://www.simplilearn.com/data-preprocessing-in-machine-learning-article (приступљено у октобру 2023.)