Landscape Ecological Planning of Urban Green Space System Based on Deep Learning
Conference: CIBDA 2022 - 3rd International Conference on Computer Information and Big Data Applications
03/25/2022 - 03/27/2022 at Wuhan, China
Proceedings: CIBDA 2022
Pages: 7Language: englishTyp: PDF
Authors:
Sun, RongYi (College of Landscape Architecture and Art, Northwest A&F University, Xianyang, China)
Abstract:
With the process of urbanization in the latter half, the construction of high-quality living environment has attracted more and more attention. Under this background, urban greenway has also been paid attention as an effective way to improve the quality of space. How to carry out landscape ecological planning for urban green space system has become one of the most important topics in this field. With the continuous development and popularization of big data technology and artificial intelligence technology, deep learning, as an important tool, is mainly used for the accurate extraction of relevant feature data, and is widely used in work and life. This paper analyses the objective, content, and process of landscape ecological planning of urban green space system, and designs a deep learning system to provide reference for relevant researchers.