HIERARCHICAL DATA MODEL FOR STORAGE AND INDEXING OF MASSIVE STREET VIEW

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Du, M.^1¹ 

[1] School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing, China^1

关键词: Mobile mapping system;    Data model;    image indexing;    3D-Grid;    time-indexing;   

DOI  :  10.5194/isprs-archives-XLII-2-W13-1295-2019

学科分类：地球科学(综合)

来源: Copernicus Publications

【 摘 要 】

Maintaining an up-to-date inventory of urban infrastructure such as fire hydrant is critical to urban management. Street view database such as Google Street View and Baidu Street View contain street-level images, their potential for urban management has not been fully explored. For the massive image, data model for storage and indexing is an important research issue. Considering multiple cameras and GPS device in the image capturing platform, a hierarchical data model named 3D-Grid is proposed. Massive street view images were stored according to grid ID, GPS time and camera ID. An efficient time indexing algorithm is brought forth to replace the spatial indexing. Real test experiments are conducted in a project, and the validation and feasibility of 3D-Grid including time indexing algorithm were validated.

【 授权许可】

CC BY