JIRAM, the Jovian Infrared Auroral Mapper

Autor: Alessadro Bini, Heidi N. Becker, Roberto Orosei, Tatiana Di Iorio, Stefano Nencioni, A. Barbis, Maria Luisa Moriconi, Maurizio Rossi, Giuseppe Piccioni, Diego Turrini, M. Zambelli, Bianca Maria Dinelli, A. Olivieri, Alessandro Mura, Giuseppe Sindoni, Marco Lastri, M. T. Capria, Alberto Adriani, Roberto Formaro, Andrea Cicchetti, Claudio Pasqui, Gianrico Filacchione, Luciano Calamai, Elio Roncon, Davide Grassi, Raffaella Noschese, Jonathan I. Lunine, Federico Tosi

Publikováno v: Space science reviews (2014). doi:10.1007/s11214-014-0094-y
info:cnr-pdr/source/autori:Alberto Adriani1, Gianrico Filacchione1, Tatiana Di Iorio1, Diego Turrini1,Raffaella Noschese1, Andrea Cicchetti1, Davide Grassi1, Alessandro Mura1,Giuseppe Sindoni1, Massimo Zambelli1, Giuseppe Piccioni1, Maria T. Capria1,Federico Tosi1, Roberto Orosei1, Bianca M. Dinelli2, Maria L. Moriconi2,Elio Roncon2, Jonathan I. Lunine3, Heidi N. Becker4, Alessandro Bini5, Alessandra Barbis5, Luciano Calamai5, Claudio Pasqui5, Stefano Nencioni5,Maurizio Rossi5, Marco Lastri5, Roberto Formaro6, Angelo Olivieri6/titolo:JIRAM, the Jovian Infrared Auroral Mapper/doi:10.1007%2Fs11214-014-0094-y/rivista:Space science reviews/anno:2014/pagina_da:/pagina_a:/intervallo_pagine:/volume

JIRAM is an imager/spectrometer on board the Juno spacecraft bound for a polar orbit around Jupiter. JIRAM is composed of IR imager and spectrometer channels. Its scientific goals are to explore the Jovian aurorae and the planet's atmospheric structu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a13fc9065342ecc9d6d4eb4c3023890
https://doi.org/10.1007/s11214-014-0094-y

Page Classification for Meta-data Extraction from Digital Collections

Autor: Francesca Cesarini, Marco Lastri, Simone Marinai, Giovanni Soda

Publikováno v: Lecture Notes in Computer Science ISBN: 9783540425274
DEXA

Automatic extraction of meta-data from collections of scanned documents (books and journals) is a useful task in order to increase the accessibility of these digital collections. In order to improve the extraction of meta-data, the classification of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::69466b2bd97af6d78edc706383b56c26
https://doi.org/10.1007/3-540-44759-8_10