Package: postgresql-15-pointcloud Source: pgpointcloud Version: 1.2.5-4.pgdg22.04+1 Architecture: amd64 Maintainer: Debian PostgreSQL Maintainers Installed-Size: 469 Depends: postgresql-15, libc6 (>= 2.14), libxml2 (>= 2.7.4), zlib1g (>= 1:1.1.4) Homepage: https://github.com/pgpointcloud/pointcloud Priority: optional Section: database Filename: pool/main/p/pgpointcloud/postgresql-15-pointcloud_1.2.5-4.pgdg22.04+1_amd64.deb Size: 110280 SHA512: 1a4ba818032b86a3813b4b82e326b99aff95cb7a40ccae41d9fa0394b90020f4a79b6e3d46c0411a87c12137a2dea98a70a024fe40a6fa802a9523f77a68b4e8 SHA256: f1780d424773b5f35a0f8872e492a92fdcf5507967d7f3931481431f216527fd SHA1: 0295356bd75b152358a948b1a21b2645b60da7b5 MD5sum: 60eaccdada92dc6812b734848a195dc6 Description: PostgreSQL extension for storing point cloud (LIDAR) data LIDAR sensors quickly produce millions of points with large numbers of variables measured on each point. The challenge for a point cloud database extension is efficiently storing this data while allowing high fidelity access to the many variables stored. . Much of the complexity in handling LIDAR comes from the need to deal with multiple variables per point. The variables captured by LIDAR sensors varies by sensor and capture process. Some data sets might contain only X/Y/Z values. Others will contain dozens of variables: X, Y, Z; intensity and return number; red, green, and blue values; return times; and many more. There is no consistency in how variables are stored: intensity might be stored in a 4-byte integer, or in a single byte; X/Y/Z might be doubles, or they might be scaled 4-byte integers. . PostgreSQL Pointcloud deals with all this variability by using a "schema document" to describe the contents of any particular LIDAR point. Each point contains a number of dimensions, and each dimension can be of any data type, with scaling and/or offsets applied to move between the actual value and the value stored in the database. The schema document format used by PostgreSQL Pointcloud is the same one used by the PDAL library.