Parameter simulation of multidimensional urban landscape design based on nonlinear theory

• Published in: Nonlinear engineering Vol. 10; no. 1; pp. 583 - 591
• Main Authors: Liu, Congru, Lin, Mingsen, Rauf, Hozan Latif, Shareef, Sardar S.
• Format: Journal Article
• Language: English
• Published: Berlin De Gruyter 01.01.2021; Walter de Gruyter GmbH
• Subjects: Feature decomposition; Feature extraction; Image reconstruction; Landscape architecture; Landscape design; Mathematical models; Multidimensional methods; nonlinear theory; parameter simulation; Parameterization; Parameters; Simulation; Urban environments; Virtual reality
• ISSN: 2192-8010; 2192-8029
• DOI: 10.1515/nleng-2021-0049

To solve the problem of large difference degree in multi-dimensional urban landscape design, a multidimensional urban landscape design method based on nonlinear theory is proposed. Research on multidimensional nonlinear landscape design methods in improving the rationality of architectural landscape design and improving the living environment is important for optimizing the structure of multidimensional nonlinear landscape design and improving the effect of urban landscape design. Firstly, according to the input and output data of the system, the multidimensional nonlinear landscape image is sampled, the virtual scene space visual planning method is used to simulate the parameters of the multidimensional nonlinear landscape design, and the block detection method is used to reconstruct the region of the multidimensional nonlinear landscape image. Combined with RGB feature decomposition method, the parameter vectorized feature extraction of multidimensional nonlinear landscape design was carried out, and the parameterized model of multidimensional nonlinear landscape view was extracted. Based on the parameterized model method, the multidimensional nonlinear landscape design is realized, and the quantitative analysis ability of multidimensional nonlinear landscape design is improved. The simulation results show that the mean of regression standard deviation is 0.567, the standard value is 0.753, and the F-test value is 0.655. Therefore, the visual feature expression ability of multidimensional nonlinear landscape design using the proposed method is better and the effect of landscape design is improved.