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

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

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  • 製本 Hardcover:ハードカバー版/ページ数 236 p.
  • 言語 ENG
  • 商品コード 9781032780467
  • DDC分類 006.693

Full Description

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.

Contents

Part I: Introduction. 1. Introduction to Point Cloud. 2. Ubiquitous Point Cloud. Part II: Introduction of Fusion and Enhancement. 3. Multiview Point Clouds Registration. 4. Cross-Platform Points Clouds Registration. 5. Point Clouds and Panoramic Images Registration. Part III: Introduction of Detection and Segmentation. 6. 3D Object Detection. 7. Point Cloud Semantic Segmentation. 8. Point Cloud Instance Segmentation. Part IV: Introduction of Modeling and Analysis. 9. 3D Terrain Modeling. 10. 3D Building Reconstruction. 11. 3D Road Reconstruction. Part V: Software and Applications. 12. Point Cloud Processing Software - Point2Model. 13. Applications of Uniquitous Point Cloud. 14. Conclusion and Outlooks.

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