
MASSIVELY PARALLEL STOCHASTIC TERRAIN MODELS IN UNDERSEA MAPPING AND NAVIGATION
Author(s) -
Kristopher Krasnosky
Publication year - 2022
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.23860/diss-krasnosky-kristopher-2021
Subject(s) - computer science , bathymetry , graphics processing unit , terrain , cuda , sonar , massively parallel , real time computing , computer graphics (images) , field (mathematics) , computer vision , artificial intelligence , geography , parallel computing , cartography , mathematics , pure mathematics