HR: 10:35h
AN: P22B-02    [Abstracts]
TI: Analysis of selected Cassini VIMS and RADAR data over the surface of Titan through multivariate classification methods
AU: * Tosi, F
EM: federico.tosi@iasf-roma.inaf.it
AF: INAF-IFSI Istituto di Fisica dello Spazio Interplanetario, Via Fosso del Cavaliere, 100, Rome, I-00133, Italy
AU: Orosei, R
EM: roberto.orosei@iasf-roma.inaf.it
AF: INAF-IASF Istituto di Astrofisica Spaziale e Fisica Cosmica, Via Fosso del Cavaliere, 100, Rome, I-00133, Italy
AU: Seu, R
EM: roberto.seu@uniroma1.it
AF: Università di Roma "La Sapienza" - Facoltà di Ingegneria - Dipartimento INFOCOM, Via Eudossiana, 18, Rome, I-00184, Italy
AU: Filacchione, G
EM: gianrico.filacchione@iasf-roma.inaf.it
AF: INAF-IASF Istituto di Astrofisica Spaziale e Fisica Cosmica, Via Fosso del Cavaliere, 100, Rome, I-00133, Italy
AU: Coradini, A
EM: angioletta.coradini@ifsi-roma.inaf.it
AF: INAF-IFSI Istituto di Fisica dello Spazio Interplanetario, Via Fosso del Cavaliere, 100, Rome, I-00133, Italy
AU: Capaccioni, F
EM: fabrizio.capaccioni@iasf-roma.inaf.it
AF: INAF-IASF Istituto di Astrofisica Spaziale e Fisica Cosmica, Via Fosso del Cavaliere, 100, Rome, I-00133, Italy
AU: Cerroni, P
EM: priscilla.cerroni@iasf-roma.inaf.it
AF: INAF-IASF Istituto di Astrofisica Spaziale e Fisica Cosmica, Via Fosso del Cavaliere, 100, Rome, I-00133, Italy
AU: Adriani, A
EM: alberto.adriani@ifsi-roma.inaf.it
AF: INAF-IFSI Istituto di Fisica dello Spazio Interplanetario, Via Fosso del Cavaliere, 100, Rome, I-00133, Italy
AU: Moriconi, M L
EM: m.moriconi@isac.cnr.it
AF: CNR-ISAC Istituto di Scienze dell'Atmosfera e del Clima, Via Fosso del Cavaliere, 100, Rome, I-00133, Italy
AU: Team, C
EM: vims_Team@vims.lpl.arizona.edu
AU: Science Team, C
EM: crst@list.jpl.nasa.gov
AB: We have searched through Cassini/VIMS hyperspectral cubes, selecting those data which have convenient viewing geometry and which overlap with Cassini/RADAR footprints having comparable ground resolution.\newline In RADAR data we have considered two geophysical quantities: the normalized backscatter cross-section obtained from the scatterometer measurement, corrected for the incidence angle, and the brightness temperature determined from the radiometer measurement, as found in publicly available data products.\newline In VIMS data, we have selected the infrared wavelengths in the methane windows, which provide the best optical depth to measure surface reflectance.\newline The two RADAR parameters are combined with the VIMS data, with estimated errors, to produce an aggregate data set, that we process using multivariate classification methods to identify homogeneous taxonomic units in the multivariate space of the samples.\newline A first analysis has been done with the G-mode method, which has been successfully used in the past for the classification of such diverse data sets as lunar rock samples, asteroids and planetary surfaces. This method can be used without any a priori knowledge of the taxonomic structure of the observations, which is in fact provided by the classification. Furthermore, independence of variables and samples is not required, although the relationship between variables and samples needs to be known.\newline Through this classification we search for information which would not be obtained from the individual data sets alone, to gain insight about the nature and physical structure of the surface.\newline This research is supported by the Italian Space Agency (ASI).
DE: 5405 Atmospheres (0343, 1060)
DE: 5464 Remote sensing
DE: 5470 Surface materials and properties
DE: 5494 Instruments and techniques
DE: 6281 Titan
SC: Planetary Sciences [P]
MN: 2007 Fall Meeting