Church facade styles and influencing factors in Sichuan-Chongqing region based on deep learning
摘要
Living conservation of architectural heritage relies on in-depth exploration of its cultural connotations and formation mechanisms. Catholic churches built before 1949 in the Sichuan-Chongqing region are crucial witnesses of Sino-Western cultural integration but lack systematic and precise stylistic classification and influencing factor analysis. This study introduced deep learning for automatic facade style classification and refined feature extraction, combined with Geodetector for quantitative analysis of spatial distribution influencing factors. Results showed: (1) ResNet50 and ViT achieved 96.22% and 95.32% classification accuracy, respectively; (2) Eight stylistic types were identified, featuring Chinese plaques as dominant localized elements in Western-style churches and arched doorways as predominant Western elements in Chinese-style churches; (3) Buddhist temple distribution with a q-value of 0.3096 and diocesan case number with a q-value of 0.3378 were the primary influencing factors for Chinese-style and Western-style churches, respectively. This study supports living conservation and value interpretation of Sino-Western integrated architectural heritage.