Identification of Autumn Landscape Characteristics and Vitality Improvement in Urban Waterfront Spaces Based on Artificial Intelligence:A Case Study of Huangpu River in Shanghai
Identification of Autumn Landscape Characteristics and Vitality Improvement in Urban Waterfront Spaces Based on Artificial Intelligence:A Case Study of Huangpu River in Shanghai
Shanghai actively deepens the construction of"One River,One Riverbank"while emphasizing the advancement of the"Four Enhancements"to enhance green quality.This initiative aims to create a globally influential world-class waterfront space,promoting urban ecosystem services and stimulating urban vitality.This research aims to achieve full coverage,multi-temporal,and digitized intelligent recognition for urban waterfront spaces based on artificial intelligence.Taking the central urban area along the Huangpu River waterfront in Shanghai as an example,a deep learning algorithm for identifying autumn landscape characteristics in waterfront spaces was trained to construct a semantic segmentation model.By utilizing LBS big data analysis,the spatiotemporal distribution characteristics of vitality in the central urban area along the Huangpu River waterfront in Shanghai were elucidated.This study efficiently and precisely measured the autumn landscape characteristics of a large batch of empirical case sample data,revealing key factors influencing the vitality of urban waterfront spaces.These findings provide theoretical basis and technical support for urban waterfront space renewal,reconstruction,and landscape design.
维普
万方数据