Intelligent Point Cloud Processing, Sensing, and Understanding-Reference-Cited by-同舟云学术

Intelligent Point Cloud Processing, Sensing, and Understanding

Published:2024-01-03 Issue:1 Volume:24 Page:283
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Wang Miaohui¹^ORCID,Yue Guanghui²^ORCID,Xiong Jian³^ORCID,Tian Sukun⁴^ORCID

Affiliation:

1. Guangdong Key Laboratory of Intelligent Information Processing, College of Electronics and Information Engineering, Shenzhen University, Shenzhen 518052, China

2. School of Biomedical Engineering, Shenzhen University Health Science Center, Shenzhen 518037, China

3. School of Communications and Information Engineering, Nanjing University of Post and Telecommunications, Nanjing 210042, China

4. School of Stomatology, Peking University, Beijing 100081, China

Abstract

Point clouds are considered one of the fundamental pillars for representing the 3D digital landscape [...]

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

https://www.mdpi.com/1424-8220/24/1/283/pdf

Reference21 articles.

1. Quantifying the effects of 2D/3D urban landscape patterns on land surface temperature: A perspective from cities of different sizes;Xu;Build. Environ.,2023

2. A universal 3D imaging sensor on a silicon photonics platform;Rogers;Nature,2021

3. Emerging MPEG standards for point cloud compression;Schwarz;IEEE J. Emerg. Sel. Top. Circuits Syst.,2018

4. Computational methods of acquisition and processing of 3D point cloud data for construction applications;Wang;Arch. Comput. Methods Eng.,2020

5. A review of UAV platforms, sensors, and applications for monitoring of sugarcane crops;Amarasingam;Remote Sens. Appl. Soc. Environ.,2022