Research on Automatic Classification of Chinese Traditional Settlement Residential Buildings Based on Convolutional Neural Network
Authors: 
Yong Fan, Wenjie Xiao, Xuan LiAuthors Info & Claims
Yong Fan, Wenjie Xiao, Xuan LiAuthors Info & ClaimsPages 261 - 266
Abstract
A method based on convolutional neural networks is proposed for automatic classification and style recognition of traditional settlement residential building images. This method utilizes a self built database of traditional settlement residential buildings to determine quantitative evaluation indicators for multiple residential building features such as roof style, building materials, building colors, and exterior textures. The image of traditional settlement residential buildings is classified based on 8 traditional settlement areas divided in Shandong Province. The results indicate that this method has high recognition accuracy, and this achievement contributes to a more comprehensive understanding of the evolution trend of traditional Chinese village residential buildings and the formulation of relevant protection policies.
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- Research on Automatic Classification of Chinese Traditional Settlement Residential Buildings Based on Convolutional Neural Network
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October 2023
1065 pages
ISBN:9798400709449
DOI:10.1145/3650215
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Published: 16 April 2024
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ICMLCA 2023
ICMLCA 2023: 2023 4th International Conference on Machine Learning and Computer Application
October 27 - 29, 2023
Hangzhou, China
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