Spatial planning method of urban landscape architecture distribution pattern based on evolutionary algorithm

Aiming at the problems of low planning accuracy and long planning time in the traditional spatial planning method of urban landscape architecture distribution pattern, a spatial planning method of urban landscape architecture distribution pattern based on evolutionary algorithm was proposed. First, we acquire urban landscape remote sensing images through ETM+ and Landsat TM/OLI images, and use ENVI software to conduct geometric correction, image enhancement and other image processing. Then, we acquire spatial data of landscape distribution pattern from urban landscape green space types, patch area size, number and other aspects. We then use differential evolution algorithm to calculate the fitness value corresponding to the initialised population, extract landscape features, and use mutation operators. The optimal solution is obtained through the three steps of crossover operator and selection operation, which is the optimal spatial planning strategy. The simulation results show that the proposed method has higher precision and shorter planning time in spatial planning of urban landscape architecture distribution pattern.