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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Detalles Bibliográficos
Autores principales: Tamilmathi, A. Christoper, Chithra, P. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Robotics and AI
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8155491/
https://www.ncbi.nlm.nih.gov/pubmed/34055900
http://dx.doi.org/10.3389/frobt.2021.606770

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8155491/
https://www.ncbi.nlm.nih.gov/pubmed/34055900
http://dx.doi.org/10.3389/frobt.2021.606770

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