TU4.B2: Big Data Methodologies in Remote Sensing and Astronomy II

Session Type: Oral
Time: Tuesday, July 28, 15:40 - 17:20
Location: Blue 2
Session Chair: Marco Quartulli, VICOMTech
 
TU4.B2.1: CROP MAPPING APPLICATIONS AT SCALE: USING GOOGLE EARTH ENGINE TO ENABLE GLOBAL CROP AREA AND STATUS MONITORING USING FREE AND OPEN DATA SOURCES
         Guido Lemoine; European Commission
         Olivier Leo; European Commission
 
TU4.B2.2: NONLINEAR ENDMEMBER EXTRACTION IN EARTH OBSERVATIONS AND ASTROINFORMATICS DATA INTERPRETATION AND COMPRESSION
         Andrea Marinoni; University of Pavia
         Paolo Gamba; University of Pavia
 
TU4.B2.3: LARGE SCALE THEMATIC MAPPING BY SUPERVISED MACHINE LEARNING ON `BIG DATA' DISTRIBUTED CLUSTER COMPUTING FRAMEWORKS
         Javier Lozano; Vicomtech-IK4
         Naiara Aginako; Vicomtech-IK4
         Marco Quartulli; Vicomtech-IK4
         Igor Olaizola; Vicomtech-IK4
         Ekaitz Zulueta; EHU
         Pedro Iriondo; EHU
 
TU4.B2.4: ON THE ARCHITECTURE OF A BIG DATA CLASSIFICATION TOOL BASED ON A MAP REDUCE APPROACH FOR HYPERSPECTRAL IMAGE ANALYSIS
         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