Digital Terrain Modeling: Principles and Methodology
Digital terrain models have found wide applications in disciplines such as mapping, remote sensing, civil engineering, mining engineering, geology, geomorphology, military engineering, land planning, and communications. Digital Terrain Modeling: Principles and Methodology is the only authored book t...
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CRC Press
2009
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Thư viện Trường Đại học Đà Lạt |
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English |
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Environmental Sciences |
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Environmental Sciences Li, Zhilin Zhu, Qing Gold, Chris Digital Terrain Modeling: Principles and Methodology |
| description |
Digital terrain models have found wide applications in disciplines such as mapping, remote sensing, civil engineering, mining engineering, geology, geomorphology, military engineering, land planning, and communications. Digital Terrain Modeling: Principles and Methodology is the only authored book to provide comprehensive coverage of recent developments in the field. The volume 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 explores the theories, methods, and algorithms of digital terrain modeling, and focuses on quality control and accuracy. This book discusses extensions of digital terrain models for specific problems and anticipates where this research will lead.
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. |
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Book |
| author |
Li, Zhilin Zhu, Qing Gold, Chris |
| author_facet |
Li, Zhilin Zhu, Qing Gold, Chris |
| author_sort |
Li, Zhilin |
| title |
Digital Terrain Modeling: Principles and Methodology |
| title_short |
Digital Terrain Modeling: Principles and Methodology |
| title_full |
Digital Terrain Modeling: Principles and Methodology |
| title_fullStr |
Digital Terrain Modeling: Principles and Methodology |
| title_full_unstemmed |
Digital Terrain Modeling: Principles and Methodology |
| title_sort |
digital terrain modeling: principles and methodology |
| publisher |
CRC Press |
| publishDate |
2009 |
| url |
http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/1162 |
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1757671328654032896 |
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oai:scholar.dlu.edu.vn:DLU123456789-11622009-10-13T01:38:59Z Digital Terrain Modeling: Principles and Methodology Li, Zhilin Zhu, Qing Gold, Chris Environmental Sciences Digital terrain models have found wide applications in disciplines such as mapping, remote sensing, civil engineering, mining engineering, geology, geomorphology, military engineering, land planning, and communications. Digital Terrain Modeling: Principles and Methodology is the only authored book to provide comprehensive coverage of recent developments in the field. The volume 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 explores the theories, methods, and algorithms of digital terrain modeling, and focuses on quality control and accuracy. This book discusses extensions of digital terrain models for specific problems and anticipates where this research will lead. 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. INTRODUCTION Representation of Digital Terrain Surfaces Digital Terrain Models Digital Terrain Modeling Relationships Between Digital Terrain Modeling and Other Disciplines TERRAIN DESCRIPTORS AND SAMPLING STRATEGIES General (Qualitative) Terrain Descriptors Numeric Terrain Descriptors Terrain Roughness Vector: Slope, Relief, and Wavelength Theoretical Basis for Surface Sampling Sampling Strategy for Data Acquisition Attributes of Sampled Source Data TECHNIQUES FOR ACQUISITION OF DTM SOURCE DATA Data Sources for Digital Terrain Modeling Photogrammetry Radargrammetry and SAR Interferometry Airborne Laser Scanning (LIDAR) Cartographic Digitization GPS for Direct Data Acquisition A Comparison between DTM Data from Different Sources DIGITAL TERRAIN SURFACE MODELING Basic Concepts of Surface Modeling Approaches for Digital Terrain Surface Modeling The Continuity of DTM Surfaces Triangular Network Formation for Surface Modeling Grid Network Formation for Surface Modeling GENERATION OF TRIANGULAR IRREGULAR NETWORKS Triangular Irregular Network Formation: Principles Vector-Based Static Delaunay Triangulation Vector-Based Dynamic Delaunay Triangulation Constrained Delaunay Triangulation Triangulation from Contour Data with Skeletonization Delaunay Triangulations via Voronoi Diagrams Interpolation Techniques for Terrain Surface Modeling Interpolation Techniques: An Overview Area-Based Exact Fitting of Linear Surfaces Area-Based Exact Fitting of Curved Surface Area-Based Best Fitting of Surfaces Point-Based Moving Averaging Point-Based Moving Surfaces QUALITY CONTROL IN TERRAIN DATA ACQUISITION Quality Control: Concepts and Strategy On-Line Quality Control in Photogrammetric Data Acquisition Filtering of the Random Errors of the Original Data Detection of Gross Errors in Grid Data Based on Slope Information Detection of Isolated Gross Errors in Irregularly Distributed Data Detection of a Cluster of Gross Errors in Irregularly Distributed Data Detection of Gross Errors Based on Topologic Relations of Contours ACCURACY OF DIGITAL TERRAIN MODELS DTM Accuracy Assessment: An Overview Design Considerations for Experimental Tests on DTM Accuracy Empirical Models for the Accuracy of the DTM Derived from Grid Data Theoretical Models of DTM Accuracy Based on Slope and Sampling Interval Empirical Model for the Relationship between Grid and Contour Intervals MULTI-SCALE REPRESENTATIONS OF DIGITAL TERRAIN MODELS Multi-Scale Representations of DTM: An Overview Hierarchical Representation of DTM at Discrete Scales Metric Multi-Scale Representation of DTM at Continuous Scales: Generalization Visual Multi-Scale Representation of DTM at Continuous Scales: View-Dependent LOD Multi-Scale DTM at a National Level MANAGEMENT OF DTM DATA Strategies for Management of DTM Data Management of DTM Data with Files Management of DTM Data with Spatial Databases Compression of DTM Data Standards for DTM Data Format CONTOURING FROM DIGITAL TERRAIN MODELS Approaches for Contouring from DTM Vector-Based Contouring from Grid DTM Raster-Based Contouring from Grid DTM Vector-Based Contouring from Triangulated DTM Stereo Contouring from Grid DTM VISUALIZATION OF DIGITAL TERRAIN MODELS Visualization of Digital Terrain Models: An Overview Image-Based 2-D DTM Visualization Rendering Technique for Three-Dimensional DTM Visualization Texture Mapping for Virtual Landscape Generation Animation Techniques for DTM Visualization INTERPRETATION OF DIGITAL TERRAIN MODELS DTM Interpretation: An Overview Geometric Terrain Parameters Morphological Terrain Parameters Hydrological Terrain Parameters Visibility Terrain Parameters APPLICATIONS OF DIGITAL TERRAIN MODELS Applications in Civil Engineering Applications in Remote Sensing and Mapping Applications in Military Engineering Applications in Resources and Environment Marine Navigation Other Applications Beyond Digital Terrain Modeling Digital Terrain Modeling with Complex Construction Digital Terrain Modeling on the Sphere Three-Dimensional Volumetric Modeling 2009-10-13T01:38:59Z 2009-10-13T01:38:59Z 2004 Book 041532462 http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/1162 en application/octet-stream CRC Press |