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Ubiquitous Point Cloud

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Ubiquitous Point Cloud Synopsis

Point clouds from LiDAR and photogrammetry are vital and vast sources of geospatial information besides remote sensing imagery. This book provides the latest theory and methodology for point cloud processing with AI to better serve earth observation, 3D vision, autonomous driving, smart city, and geospatial information applications. It covers various aspects of 3D geospatial information, including data capturing, fusing, geocomputing, modeling, and vast downstream applications. With the inclusion of numerous illustrations, diagrams, and practical applications, readers will better understand the point cloud, and its technical challenges, and learn how to utilize point cloud in different fields.

Features

  • Provides in-depth point cloud processing pipeline, cutting-edge theory, and technology with AI.
  • Includes many specific applications of point cloud in the geospatial field.
  • Offers a comprehensive step-by-step guide from theory to application in point cloud processing.
  • Includes ample supplementary materials including datasets, tools, and other online resources.
  • Helps readers across many disciplines, from geospatial to engineering, to understand the vast application of point clouds and how to further generate new ideas and innovative thoughts.

This book is an excellent resource for researchers, academics, students, and professionals in a variety of fields including Geomatics, Remote Sensing, Cartography and Geographic Information Systems, Data Science, Geography, Earth Science, and more.

About This Edition

ISBN: 9781032780467
Publication date:
Author: Bisheng Yang, Zhen Dong, Fuxun Liang, Xiaoxin Mi
Publisher: CRC Press
Format: Hardback
Pagination: 240 pages
Series: Imaging Science
Genres: Image processing
Surveying, quantity surveying
Laser technology and holography
Property and real estate
Human geography
Geographical information systems, geodata and remote sensing
Artificial intelligence
Electrical engineering
Regional and area planning