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基于“高程-边界”耦合算法的街巷肌理测绘研究

Research on street&lane texture surveying and mapping based on"height-boundary"coupling algorithm
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摘要 针对街巷肌理结构复杂,测绘难度大,精度难以控制的问题,本文基于无人机航测技术,运用“高程-边界”耦合算法实现街巷要素的快速、高精度测绘,并选取街巷肌理复杂、测绘难度较大的某城市更新项目进行实例研究。结果表明,“高程-边界”耦合算法在保障街巷肌理测绘成果精度和提高测绘效率方面均具有良好的应用效果。 In response to the complex texture structure of street&lane,the difficulty of surveying and mapping,and the difficulty of precision control,this paper adopts the"height-boundary"coupling algorithm to achieve rapid and high-precision surveying and mapping of street&lane elements,and selects a certain urban renewal projects with complex street&lane texture and difficult surveying and mapping for example study.The results show that the"height-boundary"coupling algorithm has a good application effect in ensuring accuracy and improving efficiency of street&lane texture surveying and mapping.
作者 卓林强 ZHUO Linqiang(Heyuan City Land Resources Surveying and Mapping Institute,Heyuan,Guangdong 517000,China)
出处 《测绘标准化》 2024年第1期37-41,共5页 Standardization of Surveying and Mapping
关键词 无人机 街巷肌理 耦合算法 数学建模 卷积神经网络 unmanned aerial vehicle street&lane texture coupling algorithm mathematical modeling convolutional neural network
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