Overview
- Provides an overview and an understanding, with a strong practical tendency and detailed examples
- Apart from the subject-related background, we will also consider the ways in which design and image processing are connected
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Table of contents (11 chapters)
Keywords
About this book
Authors and Affiliations
About the authors
Rüdiger Mach
The author studied hydraulic engineering and has been engaged in CAD construction, 3D animation and image editing in a technical / scientific environment for over 15 years. He writes books about 3D visualization, and works as an engineer and lecturer in the field of technical and scientific visualization. As a senior project manager of the ViewTec Ltd., he is responsible for 3D visualization, the scientific depiction of results and everything to do with design and communication of visual problem solving.
Peter Petschek
After his studies in Germany and the USA from 1987 – 1996, the author progressed to occupational activity as a landscape architect in several offices (EDSA – Fort Lauderdale, Knoll – Sindelfingen, Kienast – Zürich) with the emphasis placed on IT implementation in free area design. In 1991 he was called as professor for technology in landscape architecture, department of landscape architecture, to HSR Hochschule für Technik Rapperswil, Switzerland.
Bibliographic Information
Book Title: Visualization of Digital Terrain and Landscape Data
Book Subtitle: A Manual
Authors: Rüdiger Mach, Peter Petschek
DOI: https://doi.org/10.1007/978-3-540-30491-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2007
Hardcover ISBN: 978-3-540-30490-6Published: 24 April 2007
Softcover ISBN: 978-3-642-06783-9Published: 14 October 2010
eBook ISBN: 978-3-540-30491-3Published: 25 June 2007
Edition Number: 1
Number of Pages: XIX, 365
Topics: Geographical Information Systems/Cartography, Landscape/Regional and Urban Planning, Landscape Architecture, Computer-Aided Engineering (CAD, CAE) and Design, Computer Imaging, Vision, Pattern Recognition and Graphics