Scalability and Performance of LiDAR Point Cloud Data Management Systems: A State-of-the-Art Review

Scalability and Performance of LiDAR Point Cloud Data Management Systems: A State-of-the-Art Review

Current state-of-the-art point cloud data management (PCDM) systems rely on a variety of parallel architectures and diverse data models. The main objective of these implementations is achieving higher scalability without compromising performance. This paper reviews the scalability and performance of...

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Bibliographic Details
Main Authors: Chamin Nalinda Lokugam Hewage, Debra F. Laefer, Anh-Vu Vo, Nhien-An Le-Khac, Michela Bertolotto
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Remote Sensing
Subjects:
point cloud data
point cloud data management
scalability
performance
parallel architectures
data models
Online Access:https://www.mdpi.com/2072-4292/14/20/5277

Internet

https://www.mdpi.com/2072-4292/14/20/5277

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