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Ryugu spectral surface regions via unsupervised machine learning classification of NIRS3 data

Palomba, E. and D'Amore, Mario and Galiano, Anna and Zinzi, A. and Dirri, F. and Longobardo, Andrea and Kitazato, Kohei and Iwata, Takahiro and Matsuoka, Moe and Hiroi, Takahiro and Takir, Driss and Nakamura, Tomoki and Abe, Masanao and Ohtake, Makiko and Matsuura, Shuji and Watanabe, S and Yoshikawa, Makoto and Saiki, Takanao and Tanaka, Satoshi and Okada, Tatsuaki (2019) Ryugu spectral surface regions via unsupervised machine learning classification of NIRS3 data. EPSC-DPS Joint Meeting 2019, Geneva , Switzerland 15–20 September 2019, Geneva, Switzerland.

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Abstract

The Japanese Hayabusa2 space mission approached the Near-Earth asteroid 162173 Ryugu in June 2018. Since then, it is taking data and mapping in detail the asteroid surface, finding a very dark and boulder rich asteroid with very homogenous spectral reflectance properties in the near IR. Statistical and machine learning tools are applied on NIRS 3 spectrometer data to explore them and search for structure emndedded in the data and study their characteristics and correlation with geomorphological structures.

Item URL in elib:https://elib.dlr.de/131692/
Document Type:Conference or Workshop Item (Poster)
Title:Ryugu spectral surface regions via unsupervised machine learning classification of NIRS3 data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Palomba, E.INAF-IAPS, Rome, ItalyUNSPECIFIEDUNSPECIFIED
D'Amore, MarioUNSPECIFIEDhttps://orcid.org/0000-0001-9325-6889UNSPECIFIED
Galiano, Annaiaps - istituto di astrofisica e planetologia spaziali, inaf - istituto nazionale di astrofisica, rome, italyUNSPECIFIEDUNSPECIFIED
Zinzi, A.SSDC-ASI, Rome, ItalyUNSPECIFIEDUNSPECIFIED
Dirri, F.INAF-IAPS, Rome, ItalyUNSPECIFIEDUNSPECIFIED
Longobardo, AndreaINAF-IAPS Istituto di Astrofisica e Planetologia Spaziali, Via del Fosso del Cavaliere, 100, 00133 Rome, ItalyUNSPECIFIEDUNSPECIFIED
Kitazato, KoheiCenter for Advanced Information Science and Technology, University of Aizu, Aizu-Wakamatsu, JapanUNSPECIFIEDUNSPECIFIED
Iwata, Takahirojapan aerospace exploration agency (jaxa), japanUNSPECIFIEDUNSPECIFIED
Matsuoka, MoeInstitute of Space and Astronautical Science (ISAS), Japan Aerospace Exploration Agency, Sagamihara, JapanUNSPECIFIEDUNSPECIFIED
Hiroi, TakahiroDepartment of Geological Sciences, Brown University, Providence, RI 02912, USAUNSPECIFIEDUNSPECIFIED
Takir, DrissUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Nakamura, TomokiTohoku University, SendaiUNSPECIFIEDUNSPECIFIED
Abe, MasanaoISAS, JapanUNSPECIFIEDUNSPECIFIED
Ohtake, MakikoInstitute of Space and Astronautical Science (ISAS), Japan Aerospace Exploration Agency, Sagamihara, JapanUNSPECIFIEDUNSPECIFIED
Matsuura, ShujiKwansei Gakuin University, Hyogo, JapanUNSPECIFIEDUNSPECIFIED
Watanabe, SNagoya University, Nagoya, JapanUNSPECIFIEDUNSPECIFIED
Yoshikawa, MakotoInstitute of Space and Astronautical Science (ISAS), Japan Aerospace Exploration Agency, Sagamihara, JapanUNSPECIFIEDUNSPECIFIED
Saiki, Takanaoisas/jaxa japanUNSPECIFIEDUNSPECIFIED
Tanaka, SatoshiInstitute of Space and Astronautical Science, Japan Aerospace Exploration Agency, Sagamihara, JapanUNSPECIFIEDUNSPECIFIED
Okada, TatsuakiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2019
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:13
Page Range:p. 641
Series Name:EPSC Abstracts
Status:Published
Keywords:Ryugu, spectral, surface, unsupervised, machine learning, classification, NIRS3
Event Title:EPSC-DPS Joint Meeting 2019
Event Location:Geneva, Switzerland
Event Type:international Conference
Event Dates:Geneva , Switzerland 15–20 September 2019
Organizer:EPSC
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Exploration
DLR - Research area:Raumfahrt
DLR - Program:R EW - Space Exploration
DLR - Research theme (Project):R - Project BepiColombo - MERTIS and BELA
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Planetary Research > Leitungsbereich PF
Deposited By: Amore, Dr. Mario
Deposited On:02 Dec 2019 09:10
Last Modified:02 Dec 2019 09:10

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