| 摘要 |
A set of sensors can capture raw data that geospatially corresponds to a real world volumetric space. The raw data can include point cloud data encoded in a light detecting and ranging (LiDAR) information format, imagery and video data, and elevation data encoded in a digital elevation model (DEM) or digital surface model (DSM) format. The real-world volumetric space can be segmented into a set of volumetric units, wherein datum of the raw data is indexed against the volumetric units. Each of the volumetric units of the real-world volumetric space can be mapped to a voxel in a storage volumetric space of a voxel database. The raw data can then be stored and fused in the voxel database such that each voxel in the voxel database represents a combination of volumetrically stored data for all source products that includes providing point cloud data, imagery data, and elevation data.
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