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portada Ubiquitous Point Cloud: Theory, Model, and Applications (Imaging Science)
Type
Physical Book
Publisher
Author
Language
English
Pages
236
Format
Hardcover
ISBN13
9781032780467
Edition No.
1

Ubiquitous Point Cloud: Theory, Model, and Applications (Imaging Science)

Bisheng Yang; Zhen Dong; Fuxun Liang; Xiaoxin Mi (Author) · Crc Press · Hardcover

Ubiquitous Point Cloud: Theory, Model, and Applications (Imaging Science) - Bisheng Yang; Zhen Dong; Fuxun Liang; Xiaoxin Mi

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Synopsis "Ubiquitous Point Cloud: Theory, Model, and Applications (Imaging Science)"

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 addresses various aspects of 3D geospatial information including data capturing, fusing, geocomputing, modeling, and applications with the latest AI point cloud methods. 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, 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.

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