A Dynamic Pyramid Rtree Index for Massive GeoSpatial Files

Cui, Jifeng; Zhang, Yong; Yang, Yingzhen; Chao, Li; Xing, Chunxiao

doi:10.1109/wisa.2014.40

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2019

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“…For the image indexing, spatial-based indexing is widely used, for example R-tree, QUAD-tree. A dynamic pyramid R-tree index for the massive geospatial files management was presented (Cui et al, 2014). This method developed inspiring pyramid spatial index and R-tree index, which can be adjusted with the data distributed dynamically.…”

Section: Introductionmentioning

confidence: 99%

Hierarchical Data Model for Storage and Indexing of Massive Street View

Wang

Jing

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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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.

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Section: Introductionmentioning

confidence: 99%