Intelligent Point Cloud Processing, Sensing and Understanding
Dublin Core
Title
Intelligent Point Cloud Processing, Sensing and Understanding
Subject
Technology
Description
Point clouds are deemed to be one of the foundational pillars in representing the 3D digital world, despite irregular topologies among discrete points. Recently, advancements in sensor technologies that acquire point cloud data for flexible and scalable geometric representation have paved the way for the development of new ideas, methodologies, and solutions in countless remote sensing applications. State-of-the-art sensors are capable of capturing and describing objects in a scene by using dense point clouds from various platforms (satellites, aerial, UAVs, vehicle-borne, backpacks, handheld, and static terrestrial), perspectives (nadir, oblique, and side view), spectra (multispectral), and granularity (point density and completeness).
Creator
Miaohui Wang,
Guanghui Yue,
Jian Xiong,
Sukun Tian
Guanghui Yue,
Jian Xiong,
Sukun Tian
Source
https://mdpi-res.com/bookfiles/book/8793/Intelligent_Point_Cloud_Processing_Sensing_and_Understanding.pdf?v=1768788608
Publisher
MDPI - Multidisciplinary Digital Publishing Institute
Date
2024
Contributor
Mustabsyirah
Rights
Creative Commons
Format
PDF
Language
English
Type
Textbooks
Files
Collection
Citation
Miaohui Wang,
Guanghui Yue,
Jian Xiong,
Sukun Tian, “Intelligent Point Cloud Processing, Sensing and Understanding,” Open Educational Resource (OER) - USK Library, accessed January 31, 2026, http://oer.usk.ac.id/items/show/9597.