USE-SVI:用于采样,获取和拼接街景图像的可复制管道,以支持城市分析
Iuria Betco1, Cláudia M Viana1,2, Jorge Rocha1,2
1Center for Geographical Studies, Institute of Geography and Spatial Planning, University of Lisbon, Rua Branca Edmée Marques, Edifício IGOT, Cidade Universitária, 1600-276 Lisboa, Portugal.
我们开发了城市采样和街景图像提取 (USE-SVI),这是一个可复制的过程,用于全市街道图像分析. USE-SVI确保了数据质量和空间覆盖的一致性,提高了城市分析的可重复性.
科学领域:
- 城市分析城市分析.
- 地理空间科学 地理空间科学
- 计算机视觉 计算机视觉
背景情况:
- 街道层面图像 (SLI) 对于城市分析至关重要,但其质量和覆盖范围不一致.
- 缺乏标准化阻碍了基于SLI的城市研究的可复制性.
研究的目的:
- 引入USE-SVI (街景图像的城市采样和提取),这是一个标准化的协议,用于可重复的全市SLI获取和处理.
- 用街道级数据提高城市分析的可靠性和可扩展性.
主要方法:
- 开发了一种以固定间隔定期采集空间样本的协议,每个点有四个观看方向.
- 通过官方街景API或开放平台 (Mapillary,KartaView) 获取的图像与元数据记录.
- 使用OpenCV进行图像拼接 (ORB,FLANN,Stitcher) 来创建全景图.
主要成果:
- 实现了均间隔的SLI,数据来源清晰,并准备好使用输出 (CSV,PNG,XLSX).
- 证明了提高透明度,可扩展性和遵守SLI分析的平台条款.
- 确定的局限性,包括可变的供应商覆盖范围和潜在的拼接故障.
结论:
- USE-SVI提供了一个强大的,可重复的框架,用于使用街道层面图像进行城市分析.
- 采样,获取和拼接的标准化提高了数据质量和跨研究的可比性.
- 该协议促进了城市分析在不同城市和时间段的复制.
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