Remote sensing technologies, such as LIDAR, produce large datasets. The computers used to visualize these data have limited resources, which prevent detailed and real-time visualization. An approach to real-time visualization of virtually unlimited LIDAR datasets, based on on-demand loading of data subsets into their optimal memory locations, is presented. It uses a two-pass point-based rendering method that utilizes elliptical weighted average filtering to reduce alias.
COBISS.SI-ID: 14548502
Two data structures are presented for fast predecessor queries on integer data sets stored on multiple disks. The first one supports predecessor queries in one disk seek, but requires twice the space needed to store the data. The second structure supports predecessor queries in the time it takes to perform two disk seeks, but uses less space.
COBISS.SI-ID: 8178260