Deep Learned Quantization-Based Codec for 3D Airborne LiDAR Point Cloud Images

This paper introduces a novel deep learned quantization-based coding for 3D Airborne LiDAR (Light detection and ranging) point cloud (pcd) image (DLQCPCD). The raw pcd signals are sampled and transformed by applying the Nyquist signal sampling and Min-max signal transformation techniques, respective...

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Bibliographic Details
Main Authors: A. Christoper Tamilmathi, P. L. Chithra
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Robotics and AI
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frobt.2021.606770/full