دورية أكاديمية
Mapping 3D visibility in an urban street environment from mobile LiDAR point clouds
| العنوان: | Mapping 3D visibility in an urban street environment from mobile LiDAR point clouds |
|---|---|
| المؤلفون: | Yi Zhao, Bin Wu, Jianping Wu, Song Shu, Handong Liang, Min Liu, Vladimir Badenko, Alexander Fedotov, Shenjun Yao, Bailang Yu |
| المصدر: | GIScience & Remote Sensing, Vol 57, Iss 6, Pp 797-812 (2020) |
| بيانات النشر: | Taylor & Francis Group, 2020. |
| سنة النشر: | 2020 |
| المجموعة: | LCC:Mathematical geography. Cartography LCC:Environmental sciences |
| مصطلحات موضوعية: | mobile lidar, urban streets, visibility, visual volume, volume index, Mathematical geography. Cartography, GA1-1776, Environmental sciences, GE1-350 |
| الوصف: | Visibility determination is a key requirement in a wide range of national and urban applications, such as national security, landscape management, and urban design. Mobile LiDAR point clouds can depict the urban built environment with a high level of details and accuracy. However, few three-dimensional visibility approaches have been developed for the street-level point-cloud data. Accordingly, an approach based on mobile LiDAR point clouds has been developed to map the three-dimensional visibility at the street level. The method consists of five steps: voxelization of point-cloud data, construction of lines-of-sight, construction of sectors of sight, construction of three-dimensional visible space, and calculation of volume index. The proposed approach is able to automatically measure the volume of visible space and openness at any viewpoint along a street. This approach has been applied to three study areas. The results indicated that the proposed approach enables accurate simulation of visible space as well as high-resolution (1 m × 1 m) mapping of the visible volume index. The proposed approach can make a contribution to the improvement of urban planning and design processes that aim at developing more sustainable built environments. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1548-1603 1943-7226 15481603 |
| Relation: | https://doaj.org/toc/1548-1603; https://doaj.org/toc/1943-7226 |
| DOI: | 10.1080/15481603.2020.1804248 |
| URL الوصول: | https://doaj.org/article/ad4126e1bc5b41468a363d74ee6d212a |
| رقم الأكسشن: | edsdoj.4126e1bc5b41468a363d74ee6d212a |
| قاعدة البيانات: | Directory of Open Access Journals |
PDF full text from Publisher | تدمد: | 15481603 19437226 |
|---|---|
| DOI: | 10.1080/15481603.2020.1804248 |