数字表面模型的建筑物容积率提取   总被引：1，自引：0，他引：1  

赵翠晓  陈曦  杨辽  罗志辉 《测绘科学》2017,42(5)

针对阴影长度和阴影面积法计算建筑物容积率误差较大的情况,该文利用航空影像密集匹配生成的点云数据逐点内插生成数字表面模型,提取建筑物三维信息,同时对于复杂建筑物屋顶,利用坡度滤波将其分割成为高度不同的面片,计算每一块屋顶的层数,从而得到较为准确的建筑总面积。实验证明,利用本文方法得到的建筑物容积率准确率高,且具有较高鲁棒性和使用价值。  相似文献   

高分辨率卫星影像在1∶10000比例尺地形图(重要要素)更新与建库中的应用     

房丽秀 《测绘与空间地理信息》2017,(4)

通过GF-2号卫星影像在辽宁省1∶10 000比例尺地形图(重要要素)更新与建库的试生产,系统地阐述了项目的内容、方法、生产工艺和质量控制,验证了该方案的可行性,对保证项目的顺利进行具有重要意义。  相似文献   

建筑物沉降监测方案设计及数据处理     

乔平玉  梁周雁  邵为真  林春华 《测绘与空间地理信息》2017,40(9)

通过对某学校图书馆变形监测,阐述了变形监测的方法和意义。主要包括变形监测网的布设、测量方法的选取、监测数据的处理,以及建筑物的沉降分析。然后在EXCEL软件上绘制建筑物的沉降趋势图,并且预测分析平均观测量和每个点位。  相似文献   

基于楼盘表和户型图的分层分户模型建设     

刘怡菲  郭月肖  杨耀环 《测绘与空间地理信息》2017,40(Z1)

随着智慧城市建设的不断升级,城市管理向精细化和智能化方向快速发展.分层分户模型可以承载更复杂、更立体、更详细、更精确的信息,以供全面综合管理、大数据分析和应急指挥使用.本文以"数字郑州三维地理信息及应用服务系统"项目建设实际情况为背景,探索和实现了在SuperMap GIS平台环境下,基于楼盘表提供的层户信息与户型图提供的分户信息,通过数字线划图进行建筑底面定位,利用地名地址将楼盘表和户型图与数字线划图进行关联挂接,并根据LiDAR点云数据的高度信息,快速自动化地建设郑州市800 km2内所有建筑物的分层分户模型的技术方法.进一步探索了通过模型成果与房管信息和公安户籍信息挂接,建立"以图管房、以房管人"的新管理模式,有效提升了政府管理和决策水平.本文提出的方法技术路线先进,实操性强,具有重要的应用推广价值.  相似文献   

基于体元的机载LiDAR点云数据建筑物提取算法     

吴丽沙  宋伟东  王丽英 《测绘与空间地理信息》2017,(10):159-162

针对目前机载LiDAR点云数据存在的数据组织效率低下以及不利于查询等问题,本文提出了一种基于体元的建筑物提取算法。首先,构建体元模型实现机载LiDAR数据的真三维描述;然后,计算局部邻域曲面拟合残差,将残差最小的体元视作种子体元;最后,根据局部邻域法向量夹角准则来实现种子体元的区域增长,从而获得建筑物点。本文选取ISPRS公开的点云滤波测试数据中的8种复杂场景进行实验,实验结果表明:本文算法不仅原理简单、容易实现,而且具有较好的鲁棒性,不会受地形以及建筑物类型和尺寸的限制,Kappa系数达到80%以上,实现了复杂场景下建筑物的提取。  相似文献   

基于BIM技术的城市三维建筑模型的探讨     

张楼香  张春敏  陈玲 《测绘与空间地理信息》2017,(12):84-86

分析了传统城市三维建模的现状及存在的问题,指出了BIM技术应用于城市规划的重要性,同时探讨了基于BIM技术的城市三维模型系统的设计模式。将BIM技术与传统三维建模技术、地理数据库等相结合,建立建筑BIM模型,促进城市三维建模技术的创新发展,同时建筑BIM模型可嵌入城市规划项目BIM模型,贯穿于项目全生命周期,为城市规划者和管理者提供信息化的高效、便利的手段。  相似文献   

Regional positioning services as economic and construction activity indicators: the case study of Andalusian Positioning Network (Southern Spain)     

R. Páez  I. Barbero  M. Berrocoso 《国际地球制图》2017,32(1):44-58

The Andalusian Positioning Network (RAP) is a regional GNSS permanent network in Southern Spain that offers two public services for precise positioning: real-time (RAP-Internet Protocol [IP]) and post processing (RAP-File Transfer Protocol [FTP]). Most of the registered users are linked to the construction sector, so the collapse of the housing bubble and the Spanish economic crisis influenced the use of RAP services from 2008. The behaviour of these services has differed somewhat, although analysis for the years 2008–2013 reveals a general decline. Since 2009, the RAP-FTP service demand fell by 50%, but the RAP-IP service was stable until October 2011, when it began a steep decline in December 2012. Analysing the temporal demand and the geospatial connections of RAP-IP with economic impact indicators, we found a high linear correlation between this service and jobs in the construction sector (.98) and permit building (.96). The real-time and associated geoinformation are its main advantages.  相似文献   

多尺度变换中建筑群空间相似度计算模型     

姜晓琴  闫浩文 《测绘科学》2017,42(8)

针对建筑群自动综合结果质量评价问题,该文提出一种建筑群多尺度表达中空间相似度计算模型。从地图综合质量评价的角度,立足地图综合的3个约束,即图形约束、拓扑约束、结构约束,分别计算了图形相似度、拓扑相似度、结构相似度,并对以上各相似度作了适当的权重分配,计算建筑群目标的整体相似度。最后,通过实验验证了本文相似度计算方法的正确性、可行性。  相似文献   

Extending a BIM-based data model to support 3D digital management of complex ownership spaces     

Behnam Atazadeh  Mohsen Kalantari  Abbas Rajabifard  Serene Ho  Tom Champion 《International journal of geographical information science》2017,31(3):499-522

Currently, 2D-based analogue building subdivision plans are used to represent the spatial extent of private, public and communal property ownership rights. These plans are recognized as posing a range of challenges in terms of communicating the spatial complexity of ownership spaces within multi-storey buildings. In response to these challenges, three-dimensional (3D) digital data environments are being investigated as a potential approach for managing complex, vertically stratified ownership arrangements. The argument presented in this article is that Building Information Modelling (BIM) can be adopted for 3D digital management of data related to complex ownership spaces. BIM provides a common and 3D digital data sharing space, underpinning a reliable basis for facilitating collaboration and decision-making over the lifecycle of buildings. However, ownership attributes and the spatial structure of ownership arrangements inside buildings are yet to be accommodated within the BIM data environment. In this article, we present a range of required data elements for managing complex ownership spaces, which have been elicited by investigating current practices pertaining to subdivision of ownership spaces within multi-storey buildings in Melbourne, Australia. An open data model in the BIM domain is extended with these data elements and a prototype model for a real multi-storey building is implemented to demonstrate the viability of the extended data model for 3D digital management and visualization of data related to complex ownership arrangements.  相似文献   

Integrating multi-source big data to infer building functions   总被引：1，自引：0，他引：1  

Ning Niu  He Jin  Xinyue Ye  Yu Liu  Xia Li 《International journal of geographical information science》2017,31(9):1871-1890

Information about the functions of urban buildings is helpful not only for developing a better understanding of how cities work, but also for establishing a basis for policy makers to evaluate and improve the effectiveness of urban planning. Despite these advantages, however, and perhaps simply due to a lack of available data, few academic studies to date have succeeded in integrating multi-source ‘big data’ to examine urban land use at the building level. Responding to this deficiency, this study integrated multi-source big data (WeChat users’ real-time location records, taxi GPS trajectories data, Points of Interest (POI) data, and building footprint data from high-resolution Quickbird images), and applied the proposed density-based method to infer the functions of urban buildings in Tianhe District, Guangzhou, China. The results of the study conformed to an overall detection rate of 72.22%. When results were verified against ground-truth investigation data, the accuracy rate remained above 65%. Two important conclusions can be drawn from our analysis: 1.The use of WeChat data delivers better inference results than those obtained using taxi data when used to identify residential buildings, offices, and urban villages. Conversely, shopping centers, hotels, and hospitals, were more easily identified using taxi data. 2. The use of integrated multi-source big data is more effective than single-source big data in revealing the relation between human dynamics and urban complexes at the building scale.  相似文献