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作 者:黄耀福 陈怡帆 邓伟环 李郇[1] HUANG Yaofu;CHEN Yifan;DENG Weihuan;LI Xun
机构地区:[1]中山大学地理科学与规划学院 [2]中山大学中国区域协调发展与乡村建设研究院 [3]比亚迪股份有限公司
出 处:《小城镇建设》2024年第12期5-12,共8页DEVELOPMENT OF SMALL CITIES & TOWNS
基 金:国家自然科学基金项目“以农房为核心的乡村建设:国家与农户互动的空间响应和区域差异”(编号:42371206)。
摘 要:乡村建设评价是推动乡村发展、建设宜居宜业和美乡村的关键工作,实现乡村建设智能化评价对于提高评价效率和准确性具有重要意义。然而,传统的社会经济普查和调查存在覆盖范围有限、收集成本高昂等问题。针对这一挑战,本文采用可计算乡村的研究范式,通过图—数结合的方式,构建基于村景图片的评价体系,并以全国102个县为例进行特征解析。结果表明,基于村景图片的评价方法能够将图片大数据转化为评价指标,实现对农房、村庄等微观尺度的智能化、精细化评价;上述成果有助于揭示农房、村庄道路及村容村貌等方面的区域差异。本研究尝试通过对村景图片的智能化分析,为乡村建设评价提供更高效、可推广的数据采集和分析技术,有助于指导未来乡村建设工作、推动乡村可持续发展。Rural construction evaluation is a crucial task in promoting rural development,fostering livable and business-friendly villages,and enhancing the beauty of rural areas.Achieving intelligent evaluation in rural construction is of great significance for improving the efficiency and accuracy of the evaluation process.However,traditional socioeconomic censuses and surveys encounter challenges such as limited coverage and high collection costs.In response to these challenges,this paper adopts the research paradigm of a'computable village',combining graphical and numerical approaches to construct an evaluation system based on village landscape images.Taking 102 counties nationwide as examples,this study conducts a feature analysis.The results indicate that the evaluation method based on village landscape images can convert vast image data into evaluation indicators,enabling intelligent and refined evaluation at the micro-level of farmhouses and villages.This approach facilitates the revelation of regional differences in aspects such as farmhouses, village roads, and village appearance. This study aims toprovide a more efficient, intelligent, and scalable data collection and analysis technology for rural constructionevaluation through the intelligent analysis of village landscape images. This will be beneficial for guiding future ruralconstruction work and promoting sustainable rural development.
分 类 号:TU982.29[建筑科学—城市规划与设计]
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