Digital Terrain Modeling: Principles and MethodologyWritten 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 a |
Contents
1 Introduction | 1 |
2 Terrain Descriptors and Sampling Strategies | 13 |
3 Techniques for Acquisition of DTM Source Data | 31 |
4 Digital Terrain Surface Modeling | 65 |
5 Generation of Triangular Irregular Networks | 87 |
6 Interpolation Techniques for Terrain Surface Modeling | 115 |
7 Quality Control in Terrain Data Acquisition | 133 |
8 Accuracy of Digital Terrain Models | 159 |
10 Management of DTM Data | 211 |
11 Contouring from Digital Terrain Models | 233 |
12 Visualization of Digital Terrain Models | 247 |
13 Interpretation of Digital Terrain Models | 267 |
14 Applications of Digital Terrain Models | 285 |
15 Beyond Digital Terrain Modeling | 297 |
Epilogue | 305 |
| 307 | |
Other editions - View all
Digital Terrain Modeling: Principles and Methodology Zhilin Li,Christopher Zhu,Chris Gold Limited preview - 2004 |
Digital Terrain Modeling: Principles and Methodology Zhilin Li,Christopher Zhu,Chris Gold No preview available - 2004 |
Common terms and phrases
accuracy algorithm angle applied approach average basic block boundary called cells Chapter computed considered constructed continuous contour lines coordinates curve data points data set derived described detection determined developed digital terrain modeling direction discussed distance distribution DTM data DTM surface edge elevation Equation estimated example expressed flow follows format four frequency function given grid gross errors ground height illustrates important interpolation interval linear located mathematical means measurement method needs neighbors nodes object obtained operation original parameters photogrammetry pixel position possible practice principle problem produced projection random range reference region regular removal representation represented resolution result sampling scale selected shown in Figure shows similar simple slope smooth space standard stereo structure Table techniques terrain surface topographic triangle triangular types unit usually visual Voronoi diagram widely