htmlabstractThe popularity, availability and sizes of point cloud data sets are increasing, thus raising interesting data management and processing challenges. Various software solutions are available for the management of point cloud data. A benchmark for point cloud data management systems was defined and it was executed for several solutions. In this paper we focus on the solutions based on the column-store MonetDB, the generic out-of-the-box approach is compared with two alternative approaches that exploit the spatial coherence of the data to improve the data access and to minimize the storage requirement
MonetDB is a state-of-the-art open-source column-store database management system targeting applicat...
In the Geomatics domain, a point cloud refers to a data set which records the coordinates and other ...
The rapid developments in the field of point cloud acquisition technologies have allowed point cloud...
The popularity, availability and sizes of point cloud data sets are increasing, thus raising interes...
The popularity, availability and sizes of point cloud data sets are increasing, thus raising interes...
Column stores have become the de-facto standard for most datawarehouse solutions. The regularity and...
With laser scanning (including laser altimetry and multi-beam echo sounding), many data points, call...
Thanks to its flexibility (i.e. new computing jobs can be set up in minutes, without having to wait ...
Column-store database engines are a promising track in database re-search to handle data warehouses....
Point cloud data are important sources for 3D geo-information. The point cloud data sets are growing...
A lot of efforts are in progress to store point cloud data in a database. Especially Oracle introduc...
Drastically increasing production of point clouds as well as modern application fields like robotics...
Nowadays, massive amounts of point cloud data can be collected thanks to advances in data acquisitio...
International audienceIn addition to more traditional geographical data such as images (rasters) and...
Modern geoinformation technologies for collecting and processing data, such as laser scanning or pho...
MonetDB is a state-of-the-art open-source column-store database management system targeting applicat...
In the Geomatics domain, a point cloud refers to a data set which records the coordinates and other ...
The rapid developments in the field of point cloud acquisition technologies have allowed point cloud...
The popularity, availability and sizes of point cloud data sets are increasing, thus raising interes...
The popularity, availability and sizes of point cloud data sets are increasing, thus raising interes...
Column stores have become the de-facto standard for most datawarehouse solutions. The regularity and...
With laser scanning (including laser altimetry and multi-beam echo sounding), many data points, call...
Thanks to its flexibility (i.e. new computing jobs can be set up in minutes, without having to wait ...
Column-store database engines are a promising track in database re-search to handle data warehouses....
Point cloud data are important sources for 3D geo-information. The point cloud data sets are growing...
A lot of efforts are in progress to store point cloud data in a database. Especially Oracle introduc...
Drastically increasing production of point clouds as well as modern application fields like robotics...
Nowadays, massive amounts of point cloud data can be collected thanks to advances in data acquisitio...
International audienceIn addition to more traditional geographical data such as images (rasters) and...
Modern geoinformation technologies for collecting and processing data, such as laser scanning or pho...
MonetDB is a state-of-the-art open-source column-store database management system targeting applicat...
In the Geomatics domain, a point cloud refers to a data set which records the coordinates and other ...
The rapid developments in the field of point cloud acquisition technologies have allowed point cloud...