Urban Landscape Design Based on Data Fusion and Computer Virtual Reality Technology

Xiao-ning, Zhang; Wen, Fan; Guo, Xiaohong

doi:10.1155/2022/7207585

Cited by 16 publications

(13 citation statements)

References 27 publications

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“…Using data fusion and computer virtual reality (VR), the work in [ 36 ] undertakes a study on urban green landscape design to illustrate the potential of a more planned design. SketchUp software is used to create models, and a digital camera is used to take continuous digital photos.…”

Section: Need For Greenway Developmentmentioning

confidence: 99%

Problems and Countermeasures of China’s Greenway Economic Development from the Perspective of Computer Internet

Zhang¹

2022

Computational Intelligence and Neuroscience

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Given the advantages of urban greenways (UGCs) to urban populations’ health and well-being, the growing usage of UGCs has gotten a lot of attention. However, most studies on UGCs have been undertaken in Western nations, but the understanding of greenway usage in underdeveloped countries is scarce. China’s current environmental change in urban enhancement has been emphasized by a rush of urban green projects. The greenway is a kind of green infrastructure that has lately been the focus of many municipal governments. The federal government’s new, ecologically friendly approach to urbanization is the subject of this article, which offers a preliminary assessment of the role played by greenways in that strategy. UGCs are green landscape routes designed for walkers and bicycles in cities, according to landscape design. A growing number of regions and cities in China are participating in the development of UGC, with some projects meeting their goals on an annual basis. UGCs are being built in China; however, a number of challenges exist, including a lack of legal basis, the public’s incorrect understanding of UGCs, and insufficient scientific investigation. According to research on UGC construction and analysis of the peculiarities of various urban developments, the article highlighted current challenges in China’s UGC construction and provided corresponding remedies in order to enhance China’s UGC construction. In this survey, we performed statistical analysis using the chi-square test as well as the ANOVA test.

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Section: Need For Greenway Developmentmentioning

confidence: 99%

Problems and Countermeasures of China’s Greenway Economic Development from the Perspective of Computer Internet

Zhang¹

2022

Computational Intelligence and Neuroscience

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“…Zhang et al [22] have presented ULD depend on DF and CVRT. In this work, DF-CVRT were used to urban landscape design.…”

Section: Literature Reviewmentioning

confidence: 99%

Visualization and Interaction Model of Outdoor Landscape Design Based on Virtual Reality Technology using Optimized Sparse Spectra Graph Convolutional Neural Network

Yue Song

2024

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The artistic thought of traditional garden landscape design has significant effect on garden art, architectural theory, gardening theory are also inextricably linked. In modern gardens, traditional architecture lacks applicability to construction of garden painting environment. In this Manuscript, Visualization and Interaction Model of Outdoor Landscape Design Based on Virtual Reality Technology using Optimized Sparse Spectra is Graph Convolutional Neural Network is proposed (VIM-OLD-VRT-SSGCNN).Initially the data is collected fromArcbazer.com data. Afterwards sparse spectra graph convolutional neural network (SSGCNN) is used to design the Outdoor Landscape. In Generally, SSGCNN doesn’t expose some adoption of optimization systems for calculating optimal parameters for exactly design the Outdoor Landscape. Hence, Piranha Foraging optimization Algorithm (PFOA) is proposed to optimize SSGCNN which precisely design Outdoor Landscape. Finally Visualization and Interaction Model of Outdoor Landscape Designed. The proposed VIM-OLD-VRT-SSGCNN method is implemented python and performance metrics likes accuracy, precision, F1-score, sensitivity, specificity, computational time, RoC are evaluated. The performance of VIM-OLD-VRT-SSGCNN method provides 18.31%, 20.72%, 21.67% greater accuracy, 17.83%, 18.42%, 20.38% greater precision and 21.75%, 22.36%, 23.59% greater computational time while compared with existing techniques like Utilizing Deep Learning to Generate Font with Backyards in Landscape Architecture(UDL-GFB-LA), Urban Landscape Design Depend on Data Fusion with Computer Virtual Reality Technology (ULD-DF-CVRT),perception of urban sounds cape and landscape utilizing different visual environment reproduction techniques in virtual reality (PUSL-DVER-VR) respectively.

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“…Cluster and network communication modules can directly connect the HLA host to implement remote off-site distribution, or use the protocol LAN to implement landscape simulation design. Not only can it significantly extend the calculation of virtual simulations, but also create a more reliable virtual environment, and to achieve efficient and fast network communication [ 21 ].…”

Section: Urban Landscape Design System Constructionmentioning

confidence: 99%

Neural Network Model of Urban Landscape Design Based on Multi-Target Detection

Jia

2022

Computational Intelligence and Neuroscience

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Urban landscape design is of great significance to the development of the city. To solve the problem of manual acquisition characteristics of urban landscape design systems and low target detection accuracy, a new idea based on neural network and multi-objective testing technology construction urban landscape design system is proposed. By analyzing key technologies, the database establishment proposes to build a city landscape design system. Establish a city landscape design 3D model library using neural network and multi-objective testing technology. The system enables terrain measurements, GIS, visualization, massive data processing, virtual reality technology, etc., so that users can more and more effectively feel the rationality of space design and the feasibility of planning program. Through the experimental test, the following conclusions were obtained. First, the accuracy of multi-objective detection technology is maintained at around 88%. Second, the system landscape generation module generates fast, and the calculation time is between 0.57 and 46 s. Third, through analysis of the evaluation results of ecological suitability, the A-city landscape ecological function partition is divided into the plan for the plan to provide reliable data protection. The fourth is based on satisfaction evaluation indicators, which is conducive to the choice of the optimal plan of urban landscape design, thereby promoting the sustainable development of the city.

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Urban Landscape Design Based on Data Fusion and Computer Virtual Reality Technology

Cited by 16 publications

References 27 publications

Problems and Countermeasures of China’s Greenway Economic Development from the Perspective of Computer Internet

Problems and Countermeasures of China’s Greenway Economic Development from the Perspective of Computer Internet

Visualization and Interaction Model of Outdoor Landscape Design Based on Virtual Reality Technology using Optimized Sparse Spectra Graph Convolutional Neural Network

Neural Network Model of Urban Landscape Design Based on Multi-Target Detection

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