Zhilin Li, Christopher Zhu, Chris Gold
Written by experts, Digital Terrain Modeling: Principles and Methodology provides comprehensive coverage of recent developments in the field. The topics include terrain analysis, sampling strategy, acquisition methodology, surface modeling principles, triangulation algorithms, interpolation techniques, on-line and off-line quality control in data acquisition, DTM accuracy assessment and mathematical models for DTM accuracy prediction, multi-scale representation, data management, contouring, visual analysis (or visualization), the derivation of various types of terrain parameters, and future development and applications.
1. Introduction 2. Sampling Theory 3. Data Acquisition Methodology 4. Terrain Surface Modelling (Reconstruction) 5. Algorithms for Triangular Irregular Network Formation 6. Interpolation Methods 7. Data Quality Control 8. Mathematical Models for DTM Accuracy 9. Multi-Scale Representation of Digital Elevation Models 10. DTM Data Management 11. Contouring from DTM 12. DTM-Based Terrain Analysis (DTM Interpretation) 13. Visualization of DTM Surface 14. Applications 15. Integration with GIS. Index.
Preface, 1 Introduction, 2 Terrain Deillegalscriptors and Sampling Strategies, 3 Techniques for Acquisition of DTM Source Data, 4 Digital Terrain Surface Modeling, 5 Generation of Triangular Irregular Networks, 6 Interpolation Techniques for Terrain Surface Modeling, 7 Quality Control in Terrain Data Acquisition, 8 Accuracy of Digital Terrain Models, 9 Multi-Scale Representations of Digital Terrain Models, 10 Management of DTM Data, 11 Contouring from Digital Terrain Models, 12 Visualization of Digital Terrain Models, 13 Interpretation of Digital Terrain Models, 14 Applications of Digital Terrain Models, 15 Beyond Digital Terrain Modeling, Epilogue, References, Index
Written by experts, Digital Terrain Modeling: Principles and Methodology provides comprehensive coverage of the entire field. The topics include terrain analysis, sampling strategy, acquisition methodology, surface modeling principles, triangulation algorithms, interpolation techniques, on-line and off-line quality control in data acquisition, DTM accuracy assessment and mathematical models for DTM accuracy prediction, multi-scale representation, data management, contouring, visual analysis (or visualization), the derivation of various types of terrain parameters, and future development and applications.
Provides coverage of the developments in the field of Digital terrain models. This book includes an examination of data acquisition and a review of the presentation of DTMs in databases, in contour form, and in various forms of computer graphics. It also explores the theories, methods, and algorithms of digital terrain modeling.
Über den Autor
Zhilin Li, Christopher Zhu, Chris Gold
Inhaltsverzeichnis
Preface, 1 Introduction, 2 Terrain Deillegalscriptors and Sampling Strategies, 3 Techniques for Acquisition of DTM Source Data, 4 Digital Terrain Surface Modeling, 5 Generation of Triangular Irregular Networks, 6 Interpolation Techniques for Terrain Surface Modeling, 7 Quality Control in Terrain Data Acquisition, 8 Accuracy of Digital Terrain Models, 9 Multi-Scale Representations of Digital Terrain Models, 10 Management of DTM Data, 11 Contouring from Digital Terrain Models, 12 Visualization of Digital Terrain Models, 13 Interpretation of Digital Terrain Models, 14 Applications of Digital Terrain Models, 15 Beyond Digital Terrain Modeling, Epilogue, References, Index
Klappentext
Provides coverage of the developments in the field of Digital terrain models. This book includes an examination of data acquisition and a review of the presentation of DTMs in databases, in contour form, and in various forms of computer graphics. It also explores the theories, methods, and algorithms of digital terrain modeling.
