Title :
Large scale thematic mapping by supervised machine learning on ‘big data’ distributed cluster computing frameworks
Author :
J. Lozano;N. Aginako;M. Quartulli;I. Olaizola;E. Zulueta;P. Iriondo
Author_Institution :
Vicomtech-IK4, Digital TV and Multimedia Services, Mikeletegi 57, 20009 Donostia, Spain
fDate :
7/1/2015 12:00:00 AM
Abstract :
The Petabyte-scale data volumes in Earth Observation (EO) archives are not efficiently manageable with serial processes running on large isolated servers. Distributed storage and processing based on `big data´ cloud computing frameworks needs to be considered as a part of the solution.
Keywords :
"Sparks","Prototypes","Machine learning algorithms","Feature extraction","Big data","Clustering algorithms","Servers"
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
Electronic_ISBN :
2153-7003
DOI :
10.1109/IGARSS.2015.7326065
