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. 1
Mobile Mapping Systems (MMS) have become important and regularly used platforms for the collection o...
more evident than in the limited capabilities of Spatial Information Systems (SIS) to manipulate dat...
Mobile Mapping Systems (MMSs) for infrastructural monitoring and mapping are becoming more prevalent...
Dealing with LIDAR data in the context of database management systems calls for a re-assessment of t...
While a DBMS is usually the tool of choice to handle massive amount of data, its use for LiDAR datas...
While the existence of very large and scalable Database Management Systems (DBMSs) is well recognize...
Currently large data sets, such as country wise LiDAR scans, are being collected and combined with l...
Currently large data sets, such as country wise LiDAR scans, are being collected and combined with l...
This paper presents an approach to realizing LiDAR data management in DBMS. We use octree to partiti...
LiDAR Survey is one alternative method that gives an extra advantage especially to get coordinate an...
textabstract3D digital city models, important for urban planning, are currently constructed from mas...
In recent years, three-dimensional (3D) data has become increasingly available, in part as a result ...
Geographic Information Systems (GIS) were designed to model the world. However, with the growth of d...
Earth observation sciences, astronomy, and seismology have large data sets which have inherently ric...
Developments in LiDAR technology over the past decades have made LiDAR to become a mature and widely...
Mobile Mapping Systems (MMS) have become important and regularly used platforms for the collection o...
more evident than in the limited capabilities of Spatial Information Systems (SIS) to manipulate dat...
Mobile Mapping Systems (MMSs) for infrastructural monitoring and mapping are becoming more prevalent...
Dealing with LIDAR data in the context of database management systems calls for a re-assessment of t...
While a DBMS is usually the tool of choice to handle massive amount of data, its use for LiDAR datas...
While the existence of very large and scalable Database Management Systems (DBMSs) is well recognize...
Currently large data sets, such as country wise LiDAR scans, are being collected and combined with l...
Currently large data sets, such as country wise LiDAR scans, are being collected and combined with l...
This paper presents an approach to realizing LiDAR data management in DBMS. We use octree to partiti...
LiDAR Survey is one alternative method that gives an extra advantage especially to get coordinate an...
textabstract3D digital city models, important for urban planning, are currently constructed from mas...
In recent years, three-dimensional (3D) data has become increasingly available, in part as a result ...
Geographic Information Systems (GIS) were designed to model the world. However, with the growth of d...
Earth observation sciences, astronomy, and seismology have large data sets which have inherently ric...
Developments in LiDAR technology over the past decades have made LiDAR to become a mature and widely...
Mobile Mapping Systems (MMS) have become important and regularly used platforms for the collection o...
more evident than in the limited capabilities of Spatial Information Systems (SIS) to manipulate dat...
Mobile Mapping Systems (MMSs) for infrastructural monitoring and mapping are becoming more prevalent...