摘要
城市地标可视性研究是城市设计及景观风貌保护等相关规划的重点内容。目前,传统的“眺望”视线控制方法在可视域划定、可视度分析上存在缺陷,后续结合数字化手段改进的三维可视域模拟分析方法部分解决了可视域划定的问题,但数据精度要求高,且无法满足可视度分析要求。针对此问题,本文提出了一种基于迁移学习与智能模式识别的城市地标可视性分析方法,以南京紫峰大厦为例,利用自主采集的街景数据,结合地标数据集,训练出结合迁移学习、深度神经网络的人工智能体,完成对不同尺寸下,符合紫峰大厦特征的地标识别。通过改进的智能模式识别方法,可以实现地标的可视域及可视度识别。经验证,分析结果较过去的“眺望”视线控制方法,三维可视域模拟分析方法更为精准、真实。弥补现有方法在可视域、可视度分析上的不足。
Urban landmark refers to the iconic structures or landscapes in the city,which are the imagery elements in the city with the significance of direction guidance,form unification,value symbolization,historical remembrance and other spatial significance.Cities have paid great attention to the sightline protection and control of landmarks in the hope of highlighting the city’s iconic image.Existing research on landmark building sightline protection and control focuses on two directions,one is the method of landmark building sightline protection planning,such as landscape view corridor control,sightline zoning control,fuselage overlook landscape control,etc.,basically adopting the“overlook”method of sightline control,i.e.,a number of viewpoints are selected by the planner or the local government in the city,and it is required that the viewpoints are located at a certain point of view.The planner or local government selects a number of viewpoints in the city,and requires that the landmark buildings can be viewed from the viewpoints without being negatively affected by the neighboring buildings or environmental elements on the overall scene of the landmark buildings.However,the early landmark line of sight analysis is in plan view,delineating the relatively regular sectors and spindle shapes for control,which is more idealized and lacks the refined line of sight simulation analysis.Therefore,with the development of geographic information technology,there is a second major research direction,which is the visual domain simulation analysis of technical methods,such as GIS visual domain analysis,WebGL three-dimensional visual domain analysis,Cesium three-dimensional visual domain analysis,etc.,these methods are from the threedimensional space to start,through the geographic information data simulation analysis,improve the fineness of the line of sight analysis.However,the method’s data quality requirements can’t always be fulfilled,according to the current commonly used data accuracy is difficult to meet the deman
作者
徐云翼
张胜越
蒋金亮
陈文龙
XU Yunyi;ZHANG Shengyue;JIANG Jinliang;CHEN Wenlong
出处
《西部人居环境学刊》
CSCD
北大核心
2024年第3期8-13,共6页
Journal of Human Settlements in West China
关键词
地标可视性
人工智能
迁移学习
模式识别
landmark visuality
artificial intelligence
transfer learning
pattern recognition
