Buch, Englisch, 155 Seiten, Paperback, Format (B × H): 190 mm x 235 mm
Buch, Englisch, 155 Seiten, Paperback, Format (B × H): 190 mm x 235 mm
ISBN: 978-1-62705-462-1
Verlag: MORGAN & CLAYPOOL
Within this context, this book proposes an up-to-date view of computational methods and tools for spatio-temporal data fusion, multivariate surface generation, and feature extraction, along with their main applications for surface approximation and rainfall analysis. The book is intended to attract interest from different fields, such as computer vision, computer graphics, geomatics, and remote sensing, working on the common goal of processing 3D data. To this end, it presents and compares methods that process and analyze the massive amount of geospatial data in order to support better management of societal challenges through more timely and better decision making, independent of a specific data modeling paradigm (e.g., 2D vector data, regular grids or 3D point clouds).
We also show how current research is developing from the traditional layered approach, adopted by most GIS softwares, to intelligent methods for integrating existing data sets that might contain important information on a geographical area and environmental phenomenon. These services combine traditional map-oriented visualization with fully 3D visual decision support methods and exploit semantics-oriented information (e.g., a-priori knowledge, annotations, segmentations) when processing, merging, and integrating big pre-existing data sets.
Autoren/Hrsg.
Weitere Infos & Material
- List of Figures
- List of Tables
- Preface
- Acknowledgments
- Spatio-temporal Data Fusion
- Spatial and Environmental Data Approximation
- Feature Extraction
- Applications to Surface Approximation and Rainfall Analysis
- Conclusions
- Bibliography
- Authors' Biographies