首页|Classification of architectural styles in Chinese traditional settlements using remote sensing images and building facade pictures
Classification of architectural styles in Chinese traditional settlements using remote sensing images and building facade pictures
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The classification of Chinese traditional settlements(CTSs)is extremely important for their differentiated development and protection.The innovative double-branch classifica-tion model developed in this study comprehensively utilized the features of remote sensing(RS)images and building facade pictures(BFPs).This approach was able to overcome the limitations of previous methods that used only building facade images to classify settlements.First,the features of the roofs and walls were extracted using a double-branch structure,which consisted of an RS image branch and BFP branch.Then,a feature fusion module was designed to fuse the features of the roofs and walls.The precision,recall,and F1-score of the proposed model were improved by more than 4％compared with the classification model using only RS images or BFPs.The same three indexes of the proposed model were im-proved by more than 2％compared with other deep learning models.The results demon-strated that the proposed model performed well in the classification of architectural styles in CTSs.
Chinese traditional settlementsarchitectural style classificationconvolutional neural networkre-mote sensing imagesbuilding facade pictures
ZHANG Xiaoxia、LI Shaodan、CHEN Changyao
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School of Geographic Science,Hebei Normal University,Shijiazhuang 050024,China
Hebei Technology Innovation Center for Remote Sensing Identification of Environmental Change,Shijia-zhuang 050024,China
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