In order to solve the problems of low layout accuracy and long cost in urban garden spatial environment layout, an urban garden spatial environment layout method based on random forest is designed. Firstly, the multi vision camera is used to collect the spatial environment image of urban garden, the spatial environment coordinates are transformed by rigid body, and the non-classical receptive field suppression method is used to remove the interference in the features. Then, with the help of analytic hierarchy process, the hierarchical model of configuration index rating is constructed, the layout index system is determined according to the model, and the constraints of judgment matrix are set. Finally, the layout model is constructed with the help of random forest algorithm, and the final input layout model data is determined to complete the layout. The experimental results show that the layout accuracy of the proposed method is high.
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Wu et al. (2023) studied this question.
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