9781032780474 - Ubiquitous Point Cloud: Theory, Model, and Applications (Imaging Science) de Yang, Bisheng; Dong, Zhen; Liang, Fuxun; Mi, Xiaoxin (6 resultados)

Condición: New.

Condición: New. Dr. Bisheng Yang is a full professor in LidAR and photogrammetry at Wuhan University, China, and the director of State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS). His research expertise .

Taschenbuch. Condición: Neu. Neuware - 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.

Paperback. Condición: new. Paperback. 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.FeaturesProvides 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. This book provides the theory and methodology for 3D digitalization with point clouds and AI to better serve remote sensing, 3D vision, autonomous driving, metaverse, and other industries. It addresses various aspects of 3D geoinformation including data collection, fusion, interpretation, representation, and applications in different fields. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Paperback. Condición: new. Paperback. 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.FeaturesProvides 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. This book provides the theory and methodology for 3D digitalization with point clouds and AI to better serve remote sensing, 3D vision, autonomous driving, metaverse, and other industries. It addresses various aspects of 3D geoinformation including data collection, fusion, interpretation, representation, and applications in different fields. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.