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Updating Traditional 1/50,000 Topographic Maps Using Crowd-Sourced Geodata and Free Sources Satellite Images
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作者 Atef Belhaj Ali Mohamed Hafedh Hamza 《Journal of Geographic Information System》 2021年第2期274-286,共13页
This paper addresses how open geodata and crowd-sourced geodata, and the open geoportals might be integrated with the mainstream surveying and mapping practices to update traditional topomaps quickly and inexpensively... This paper addresses how open geodata and crowd-sourced geodata, and the open geoportals might be integrated with the mainstream surveying and mapping practices to update traditional topomaps quickly and inexpensively, that might be otherwise impossible to do it due to economic and logistic situations. The abundant geographic data on the internet could be used to update topographic maps while avoiding the time-consuming nature of the traditional method. To be able to use them, it is necessary to measure and quantify the quality of these data, as well as to verify their credibility, in order to incorporate them into official topographic maps. The proposed approach takes advantage of neocartography, and it’s not about further developing a new approaches, but looking differently at how data is collected, assembled controlled and been used for updating topomaps. At the beginning, the methodology used about how open geodata and crowd-sourced geodata involved in collecting, simplifying, generalizing, controlling and generating useful cartographic information that complement traditional and conventional counterparts is presented. This methodology was applied on a 1/50,000 topomap located in the north of Jeddah city (western region of Saudi Arabia), and we have demonstrated that by using this type of data, it is possible to update topographic maps quickly and at a lower cost while maintaining cartographic precision and accuracy standards. 展开更多
关键词 Topomaps map Update open Geodata Crowed sourced Geodata open Street map (osm) Geodata Quality Hausdorff Distance
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基于双重注意力的高维场景信息时序风险感知
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作者 王欣芝 李振南 +2 位作者 徐健 骆祥峰 谢少荣 《指挥信息系统与技术》 2025年第4期61-67,共7页
高维场景信息的时序风险感知任务,常因数据规模庞大和结构复杂而遭遇计算瓶颈。为此,提出基于双重注意力的高维场景信息时序风险感知方法。首先,通过交替使用空间窗口注意力和通道组注意力,平衡计算开销与建模能力;然后,以城市内涝风险... 高维场景信息的时序风险感知任务,常因数据规模庞大和结构复杂而遭遇计算瓶颈。为此,提出基于双重注意力的高维场景信息时序风险感知方法。首先,通过交替使用空间窗口注意力和通道组注意力,平衡计算开销与建模能力;然后,以城市内涝风险感知为例,利用开源地图Open‑StreetMap获取北京市13种地理特征数据,生成北京市高维内涝风险数据集,基于点、线和面3种不同的类型建立高维场景信息与城市内涝风险的关联映射;最后,试验结果表明,该方法在城市内涝风险感知任务中优于基线方法。 展开更多
关键词 开源地图openstreetmap(osm) 通道与空间注意力 高维场景信息
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面向众源开放街道地图空间数据的质量评价方法 被引量:53
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作者 王明 李清泉 +1 位作者 胡庆武 周檬 《武汉大学学报(信息科学版)》 EI CSCD 北大核心 2013年第12期1490-1494,共5页
为了解决来自非专业用户协同编辑的众源地理空间数据质量问题,提出了一种众源地理空间数据质量评价技术框架。针对众源开放街道地图(open street map,OSM)数据特点,选取数据完整性、属性信息准确性和定位精度三方面质量要素,提出了面向... 为了解决来自非专业用户协同编辑的众源地理空间数据质量问题,提出了一种众源地理空间数据质量评价技术框架。针对众源开放街道地图(open street map,OSM)数据特点,选取数据完整性、属性信息准确性和定位精度三方面质量要素,提出了面向众源开放街道地图(OSM)空间数据的质量模型和计算方法。 展开更多
关键词 众源地理空间数据 osm 路网 质量元素 质量评价
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