Technical Program

Paper Detail

Paper:TU4.B2.4
Session:Big Data Methodologies in Remote Sensing and Astronomy II
Time:Tuesday, July 28, 16:40 - 17:00
Presentation: Oral
Topic: Invited Sessions: Big Data Methodologies in Remote Sensing and Astronomy
Title: ON THE ARCHITECTURE OF A BIG DATA CLASSIFICATION TOOL BASED ON A MAP REDUCE APPROACH FOR HYPERSPECTRAL IMAGE ANALYSIS
Authors: Victor Andres Ayma Quirita; Pontifical Catholic University of Rio de Janeiro 
 Rodrigo Ferreira; Pontifical Catholic University of Rio de Janeiro 
 Patrick Happ; Pontifical Catholic University of Rio de Janeiro 
 D├írio Oliveira; Pontifical Catholic University of Rio de Janeiro 
 Gilson A.O.P. Costa; Pontifical Catholic University of Rio de Janeiro 
 Raul Queiroz Feitosa; Pontifical Catholic University of Rio de Janeiro 
 Antonio Plaza; University of Extremadura 
 Paolo Gamba; University of Pavia