{"title":"传统村落屋顶信息的保存方法研究:古北口村案例研究","authors":"Mengchen Wang","doi":"10.26689/jwa.v8i2.6953","DOIUrl":null,"url":null,"abstract":"Traditional Chinese villages serve as crucial repositories of traditional culture. However, In China, the urgent task of preserving information about traditional village architecture has arisen due to the degradation of these villages’ appearance caused by rapid urbanization in recent years. This paper proposes a method for preserving information about traditional village rooftops based on high spatial resolution remote sensing imagery. Leveraging an improved Mask R-CNN model, the method conducts target recognition on the rooftops of traditional village buildings and generates vectorized representations of these rooftops. The precision rate, recall rate, and F1-score achieved in the experimental results are 93.26%, 86.33%, and 92.02%, respectively. These findings indicate the effectiveness of the proposed method in preserving information about traditional village architecture and providing a viable approach to support the sustainable development of traditional villages in China.","PeriodicalId":122520,"journal":{"name":"Journal of World Architecture","volume":"30 40","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on the Preservation Method of Traditional Village Roof Information: A Case Study of Gubeikou Village\",\"authors\":\"Mengchen Wang\",\"doi\":\"10.26689/jwa.v8i2.6953\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traditional Chinese villages serve as crucial repositories of traditional culture. However, In China, the urgent task of preserving information about traditional village architecture has arisen due to the degradation of these villages’ appearance caused by rapid urbanization in recent years. This paper proposes a method for preserving information about traditional village rooftops based on high spatial resolution remote sensing imagery. Leveraging an improved Mask R-CNN model, the method conducts target recognition on the rooftops of traditional village buildings and generates vectorized representations of these rooftops. The precision rate, recall rate, and F1-score achieved in the experimental results are 93.26%, 86.33%, and 92.02%, respectively. These findings indicate the effectiveness of the proposed method in preserving information about traditional village architecture and providing a viable approach to support the sustainable development of traditional villages in China.\",\"PeriodicalId\":122520,\"journal\":{\"name\":\"Journal of World Architecture\",\"volume\":\"30 40\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of World Architecture\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.26689/jwa.v8i2.6953\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of World Architecture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26689/jwa.v8i2.6953","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
中国传统村落是传统文化的重要宝库。然而,在中国,近年来快速的城市化进程导致传统村落风貌退化,保护传统村落建筑信息迫在眉睫。本文提出了一种基于高空间分辨率遥感影像的传统村落屋顶信息保护方法。该方法利用改进的掩膜 R-CNN 模型,对传统村落建筑的屋顶进行目标识别,并生成这些屋顶的矢量化表示。实验结果的精确率、召回率和 F1 分数分别为 93.26%、86.33% 和 92.02%。这些结果表明,所提出的方法在保存传统村落建筑信息方面非常有效,为支持中国传统村落的可持续发展提供了一种可行的方法。
Research on the Preservation Method of Traditional Village Roof Information: A Case Study of Gubeikou Village
Traditional Chinese villages serve as crucial repositories of traditional culture. However, In China, the urgent task of preserving information about traditional village architecture has arisen due to the degradation of these villages’ appearance caused by rapid urbanization in recent years. This paper proposes a method for preserving information about traditional village rooftops based on high spatial resolution remote sensing imagery. Leveraging an improved Mask R-CNN model, the method conducts target recognition on the rooftops of traditional village buildings and generates vectorized representations of these rooftops. The precision rate, recall rate, and F1-score achieved in the experimental results are 93.26%, 86.33%, and 92.02%, respectively. These findings indicate the effectiveness of the proposed method in preserving information about traditional village architecture and providing a viable approach to support the sustainable development of traditional villages in China.