Multi-Digital Terrain Modeling and Fusion for Environmental Analysis

By Sagi Dalyot, Yerach Doytsher, John K. Hall

© 2016 – CRC Press

350 pages | 100 B/W Illus.

Purchasing Options:
Hardback: 9781439876251
pub: 2016-03-14

About the Book

Written to address the need for updated, precise, and continuous representation of our topography, this book discusses a new approach for georelated environmental analyses processes, mainly fusion, that simultaneously handles different existing topographic databases. It enables a more true-to-nature handling of digital models representing our natural environment. The book outlines in detail the developed methodology and its different algorithms and implementations, and discusses the cases of when to use it, and how, along with statistical and visual detailing. Authors investigate and analyze real case studies and applications, and list the full algorithmic structures needed in the process.

Table of Contents


DTM generation - acquisition and production technologies

DTM representation - data types, data structures, and data interpolation techniques

Accuracy and reliability estimation and characteristics of DTMs

Visualization issues related to DTMs

Methodology and algorithms related to the hierarchical fusion approach

Defining and presenting the needs of fusing multi-sources; stating the difficulties

Presenting current scientific state of dealing with this task

Presenting the methodology and concepts

First working level - global

Skeletal structure establishment - interest point identification and extraction

Spatial registration - forward Hausdorff distance algorithm

Second working level - local

Non-rigid bodies spatial geometric matching

Various data structures: Grid, TIN, Geographic-mesh

Third working level - position-derived

Interpolation concepts and algorithms

Reverse-engineering interpolation and fusion

Geo-oriented applications for environmental analysis and control processes - statistical and visual evaluation, and case-study analysis and presentation

Summary and conclusions

SWOT analysis

Future development and applications

Final remarks

Subject Categories

BISAC Subject Codes/Headings:
MATHEMATICS / Probability & Statistics / General
TECHNOLOGY & ENGINEERING / Environmental / General
TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems