Add to ORKGDealing with LIDAR data in the context of database management systems calls for a re-assessment of their functionality, performance, and storage/processing limitations. The territory for efficient and scalable processing of LIDAR repositories using GIS enabled database systems is still largely unexplored. Bringing together hard core database management experts and GIS application developers is a sine qua non to advance the state of the art. In particular to assess the relative merits of both traditional row-based database engines and the modern column-oriented database engines
more evident than in the limited capabilities of Spatial Information Systems (SIS) to manipulate dat...
This paper presents an approach to realizing LiDAR data management in DBMS. We use octree to partiti...
In recent years, three-dimensional (3D) data has become increasingly available, in part as a result ...
Dealing with LIDAR data in the context of database management systems calls for a re-assessment of ...
Dealing with LIDAR data in the context of database management systems calls for a re-assessment of t...
Currently large data sets, such as country wise LiDAR scans, are being collected and combined with l...
Developments in LiDAR technology over the past decades have made LiDAR to become a mature and widely...
A large proportion of today’s digital data has a spatial component. The storage and effective 10 man...
3D digital city models, important for urban planning, are currently constructed from massive point c...
With laser scanning (including laser altimetry and multi-beam echo sounding), many data points, call...
While the existence of very large and scalable Database Management Systems (DBMSs) is well recognize...
LIDAR is a popular remote sensing method used to examine the surface of the Earth. LIDAR instruments...
Currently large data sets, such as country wise LiDAR scans, are being collected and combined with l...
While a DBMS is usually the tool of choice to handle massive amount of data, its use for LiDAR datas...
Geographic Information Systems (GIS) were designed to model the world. However, with the growth of d...
more evident than in the limited capabilities of Spatial Information Systems (SIS) to manipulate dat...
This paper presents an approach to realizing LiDAR data management in DBMS. We use octree to partiti...
In recent years, three-dimensional (3D) data has become increasingly available, in part as a result ...
Dealing with LIDAR data in the context of database management systems calls for a re-assessment of ...
Dealing with LIDAR data in the context of database management systems calls for a re-assessment of t...
Currently large data sets, such as country wise LiDAR scans, are being collected and combined with l...
Developments in LiDAR technology over the past decades have made LiDAR to become a mature and widely...
A large proportion of today’s digital data has a spatial component. The storage and effective 10 man...
3D digital city models, important for urban planning, are currently constructed from massive point c...
With laser scanning (including laser altimetry and multi-beam echo sounding), many data points, call...
While the existence of very large and scalable Database Management Systems (DBMSs) is well recognize...
LIDAR is a popular remote sensing method used to examine the surface of the Earth. LIDAR instruments...
Currently large data sets, such as country wise LiDAR scans, are being collected and combined with l...
While a DBMS is usually the tool of choice to handle massive amount of data, its use for LiDAR datas...
Geographic Information Systems (GIS) were designed to model the world. However, with the growth of d...
more evident than in the limited capabilities of Spatial Information Systems (SIS) to manipulate dat...
This paper presents an approach to realizing LiDAR data management in DBMS. We use octree to partiti...
In recent years, three-dimensional (3D) data has become increasingly available, in part as a result ...