文献类型：期刊文献

英文题名：Rural Local Landscape Perception Evaluation: Integrating Street View Images and Machine Learning

作者：Gong, Suning[1,2];Zhang, Lin[1];Zhang, Jie[3];Duan, Yuxi[4]

机构：[1]Tongji Univ, Coll Architecture & Urban Planning, Shanghai 200092, Peoples R China;[2]Shanghai Art & Design Acad, Coll Urban Design, Shanghai 201808, Peoples R China;[3]East China Univ Sci & Technol, Sch Art Design & Media, Shanghai 200237, Peoples R China;[4]Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan 430079, Peoples R China

年份：2025

卷号：14

期号：7

外文期刊名：ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION

收录：;WOS:【SCI-EXPANDED(收录号:WOS:001535363300001)】；

基金：This research was funded by the Shanghai Philosophy and Social Science Planning Project (2023BCK011 and 2024BCK001).

语种：英文

外文关键词：machine learning; street view image; landscape perception; rural local landscape

摘要：Rural landscape perception is of great significance in understanding the emotional connection between people and rural local environments. Seeking to rectify the problem of incomplete or biased results owing to the separation of objective and subjective landscape perception in previous studies, this study took the village of Chongming District in Shanghai, China, as an example and built an evaluation model that integrated four dimensions and 20 indicators of objective and subjective landscape perception, and used machine learning technology to analyze street view images. Subjective perception has been influenced by landscape color, style, and element perception. Notable spatial disparities have been observed in the distribution of rural landscape indicators across Chongming. This study refines key subjective and objective factors affecting rural landscape perception, and the model provides a new method for the perception evaluation of complex landscapes, providing a theoretical basis and practical reference for rural landscape planning.