Dataset Reduction Techniques to Speed Up SVD Analyses on Big Geo-Datasets

Dataset Reduction Techniques to Speed Up SVD Analyses on Big Geo-Datasets

The Singular Value Decomposition (SVD) is a mathematical procedure with multiple applications in the geosciences. For instance, it is used in dimensionality reduction and as a support operator for various analytical tasks applicable to spatio-temporal data. Performing SVD analyses on large datasets,...

Full description

Bibliographic Details
Main Authors: Laurens Bogaardt, Romulo Goncalves, Raul Zurita-Milla, Emma Izquierdo-Verdiguier
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:ISPRS International Journal of Geo-Information
Subjects:
singular value decomposition
autocorrelation
rank deficiency
data reduction
coarsening
approximate SVD
Gaussian Random Fields
Online Access:https://www.mdpi.com/2220-9964/8/2/55

Internet

https://www.mdpi.com/2220-9964/8/2/55

Similar Items