[HTML][HTML] Development of complex methodology of processing heterogeneous data in intelligent decision support systems
P Zuiev, R Zhyvotovskyi, O Zvieriev… - Восточно …, 2020 - cyberleninka.ru
The complex methodology for processing heterogeneous data in intelligent decision support
systems is developed. This method is made to increase the efficiency of processing …
systems is developed. This method is made to increase the efficiency of processing …
[PDF][PDF] Complex Methods of Processing Different Data in Intellectual Systems for Decision Support System
The complex methodology for processing different data in intelligent decision support
systems is developed. This method is made to increase the efficiency of processing different …
systems is developed. This method is made to increase the efficiency of processing different …
Sensitivity analysis of parameters and contrasting performance of ground filtering algorithms with UAV photogrammetry-based and LiDAR point clouds
Most ground filtering algorithms are primarily designed for airborne LiDAR point cloud
processing and their successful use in identifying ground points from photogrammetric point …
processing and their successful use in identifying ground points from photogrammetric point …
Point density variations in airborne LiDAR point clouds
In spite of increasing point density and accuracy, airborne lidar point clouds often exhibit
point density variations. Some of these density variations indicate issues with point clouds …
point density variations. Some of these density variations indicate issues with point clouds …
Development of an algorithm for complex processing of geospatial data in the special-purpose geoinformation system in conditions of diversity and uncertainty of data
The algorithm of complex processing of geospatial data in special-purpose geoinformation
systems in the conditions of diversity and uncertainty of data is developed. The novelty of the …
systems in the conditions of diversity and uncertainty of data is developed. The novelty of the …
Generalized 3D fragmentation index derived from lidar point clouds
Background Point clouds with increased point densities create new opportunities for
analyzing landscape structure in 3D space. Taking advantage of these dense point clouds …
analyzing landscape structure in 3D space. Taking advantage of these dense point clouds …
Use of unmanned aerial vehicle technology in the protection of Goods of Cultural Interest (GCIs): the case of the Castle of Cala (Huelva, Spain)
Currently, the use of modern technologies, such as UAVs, allows for a detailed analysis of
the protection of Sites of Cultural Interest (BICs) in Spain. Cala Castle in Huelva is selected …
the protection of Sites of Cultural Interest (BICs) in Spain. Cala Castle in Huelva is selected …
Geomorphometry from unmanned aerial surveys
Unmanned aerial systems (UASs) are widely used for remote sensing, including the
production of high‐resolution digital elevation models (DEMs). We study the possibilities of …
production of high‐resolution digital elevation models (DEMs). We study the possibilities of …
Curvature weighted decimation: a novel, curvature-based approach to improved lidar point decimation of terrain surfaces
PT Schrum Jr, CD Jameson, LG Tateosian, GB Blank… - Geomatics, 2023 - mdpi.com
Increased availability of QL1/QL2 Lidar terrain data has resulted in large datasets, often
including large quantities of redundant points. Because of these large memory …
including large quantities of redundant points. Because of these large memory …
[PDF][PDF] Curvature Weighted Decimation: A Novel, Curvature-Based Approach to Improved LiDAR Point Decimation of Terrain Surfaces. Geomatics 2023, 3, 266–289
PT Schrum Jr, CD Jameson, LG Tateosian, GB Blank… - 2023 - academia.edu
Increased availability of QL1/QL2 Lidar terrain data has resulted in large datasets, often
including large quantities of redundant points. Because of these large memory …
including large quantities of redundant points. Because of these large memory …