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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| 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 |