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Efficient Processing of Raster and Vector Data
(Public Library of Science, 2020-01-10)
[Abstract] In this work, we propose a framework to store and manage spatial data, which includes new efficient algorithms to perform operations accepting as input a raster dataset and a vector dataset. More concretely, we ...
Compact and indexed representation for LiDAR point clouds
(Taylor & Francis, 2022)
[Abstract]: LiDAR devices are capable of acquiring clouds of 3D points reflecting any object around them, and adding additional attributes to each point such as color, position, time, etc. LiDAR datasets are usually large, ...
Map algebra on raster datasets represented by compact data structures
(John Wiley and Sons, 2023-06)
[Abstract]: The increase in the size of data repositories has forced the design of new computing paradigms to be able to process large volumes of data in a reasonable amount of time. One of them is in-memory computing, ...