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Multidimensional Nonlinear Landscape Planning Based on Parameter Feature Extraction and Multimedia Technology
by
Liu, Tiesheng
in
CAD
/ Computer aided design
/ Computer design
/ Design optimization
/ Design parameters
/ Design techniques
/ Digital broadcasting
/ Digital technology
/ Feature extraction
/ Image analysis
/ Information technology
/ Landscape architecture
/ Landscape design
/ Multimedia
/ Software
/ Virtual reality
2022
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Multidimensional Nonlinear Landscape Planning Based on Parameter Feature Extraction and Multimedia Technology
by
Liu, Tiesheng
in
CAD
/ Computer aided design
/ Computer design
/ Design optimization
/ Design parameters
/ Design techniques
/ Digital broadcasting
/ Digital technology
/ Feature extraction
/ Image analysis
/ Information technology
/ Landscape architecture
/ Landscape design
/ Multimedia
/ Software
/ Virtual reality
2022
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Do you wish to request the book?
Multidimensional Nonlinear Landscape Planning Based on Parameter Feature Extraction and Multimedia Technology
by
Liu, Tiesheng
in
CAD
/ Computer aided design
/ Computer design
/ Design optimization
/ Design parameters
/ Design techniques
/ Digital broadcasting
/ Digital technology
/ Feature extraction
/ Image analysis
/ Information technology
/ Landscape architecture
/ Landscape design
/ Multimedia
/ Software
/ Virtual reality
2022
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Multidimensional Nonlinear Landscape Planning Based on Parameter Feature Extraction and Multimedia Technology
Journal Article
Multidimensional Nonlinear Landscape Planning Based on Parameter Feature Extraction and Multimedia Technology
2022
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Overview
The development of information network and digital technology has improved people’s quality of life. Parametric design can reflect the thinking logic of users and the level of computer-aided design. Taking parameter features as the research object, this study makes multidimensional nonlinear landscape planning with multimedia technology. The application of multimedia technology will pave the way for the reference of computer design program, lead to multidimensional nonlinear landscape image analysis, sample and analyze it, and change the parameter characteristics through simulation to realize the optimization of landscape design. The research data show that the landscape correlation degree is 0.344–0.724. The similarity coefficient is between 0.433–0.645. The contribution level is between 0.323–0.774. The ambiguity factor is between 0.555–0.433. In this study, by simulating the spatial vision of the scene and changing the parameters, we can find the best scheme and get good results. Verify the real validity of the experimental data.
Publisher
Hindawi,John Wiley & Sons, Inc,Wiley
Subject
/ Software
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