Abstract
The rapid urbanization development has brought huge opportunities for the development of architectural landscape design, and naturally there will be various huge challenges accordingly. What this kind of development speed presents to people is the rapid emergence of new urban areas, endless new construction projects, and so on. This paper conducts research on urban landscape design based on data fusion and computer virtual reality technology. The purpose is to use the dual guidance of data fusion technology and virtual reality technology to demonstrate the feasibility of creating a more planned urban landscape design. This article uses SketchUp software for modeling and uses a digital camera for continuous digital photography. Firstly, multiple digital landscape images are merged into a complete panoramic image. Then, the simplified model is imported into the virtual reality platform to adjust the material and scene lighting of the model, and the plan is checked in the virtual reality platform, and the model and volume of the model are analyzed and compared. Finally, design an auxiliary program and export it together with the effect image. The research results show that when the virtual landscape reaches 400, the frame rate can be kept above 30. It can be seen that the efficiency of this algorithm is higher than that of the original algorithm. When the scene thread and the rendering thread are parallel, the frame floats up and down in 9, and the time spent on the frame is reduced by about 40%. The conclusion is that the accuracy of the landscape planning system based on virtual reality technology is higher than that of the traditional algorithm, and the degree of scene simulation is more realistic. It has contributed to the construction and application of landscape systems. The application of data fusion technology and virtual reality technology in urban landscape design can achieve considerable results in terms of modeling ability, design ability, innovation ability, and expression ability, and the design ability has reached a score of 8.82.
Highlights
In recent years, with the rapid development of related digital technologies such as virtual reality and augmented reality, virtual landscapes based on these digital technologies have had an impact and challenge on the theory and practice of traditional landscapes
Shafiezadeh et al.’s goal is to maximize biodiversity by including coastal habitats that meet the requirements of key species, reduce population isolation, and improve the resilience of natural habitats to new development plans. They used the generalized linear model (GLM), generalized enhancement model (GBM), random forest (RF), and maximum entropy (MaxEnt) models to simulate suitable habitats for seven main species and combined the habitat suitability map obtained by SDM with the appropriate range of spawning green turtles and the potential habitats of aquatic and semiaquatic birds
Through this multidimensional real-time visual environment presentation technology, the design structure optimization and analysis of the architectural landscape environment and the display of the virtual architectural landscape can be more intuitive and convenient to ensure that the overall structure and local details of the design plan reached the unity of function and layout
Summary
With the rapid development of related digital technologies such as virtual reality and augmented reality, virtual landscapes based on these digital technologies have had an impact and challenge on the theory and practice of traditional landscapes. In the research of virtual reality and landscape design systems, Khosravi and Hemami take predators as the research object, use multiple decision-making standards, and combine decision-making experiments and evaluation laboratories with network analysis methods (ANP), which is the most important species in the landscape; the criteria are classified and selected They used weighting criteria, niche models, expert information, and local community attitudes to score 10 candidate species based on 13 criteria. Shafiezadeh et al.’s goal is to maximize biodiversity by including coastal habitats that meet the requirements of key species, reduce population isolation, and improve the resilience of natural habitats to new development plans They used the generalized linear model (GLM), generalized enhancement model (GBM), random forest (RF), and maximum entropy (MaxEnt) models to simulate suitable habitats for seven main species and combined the habitat suitability map obtained by SDM with the appropriate range of spawning green turtles and the potential habitats of aquatic and semiaquatic birds. It can be found that the landscape planning system based on virtual reality technology is more accurate and efficient, which is very helpful to the designer’s work
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