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, 2019-09-15 - 2019-09-20, 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:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Palomba, E.	INAF-IAPS, Rome, Italy	UNSPECIFIED	UNSPECIFIED
D'Amore, Mario	UNSPECIFIED	https://orcid.org/0000-0001-9325-6889	UNSPECIFIED
Galiano, Anna	iaps - istituto di astrofisica e planetologia spaziali, inaf - istituto nazionale di astrofisica, rome, italy	UNSPECIFIED	UNSPECIFIED
Zinzi, A.	SSDC-ASI, Rome, Italy	UNSPECIFIED	UNSPECIFIED
Dirri, F.	INAF-IAPS, Rome, Italy	UNSPECIFIED	UNSPECIFIED
Longobardo, Andrea	INAF-IAPS Istituto di Astrofisica e Planetologia Spaziali, Via del Fosso del Cavaliere, 100, 00133 Rome, Italy	UNSPECIFIED	UNSPECIFIED
Kitazato, Kohei	Center for Advanced Information Science and Technology, University of Aizu, Aizu-Wakamatsu, Japan	UNSPECIFIED	UNSPECIFIED
Iwata, Takahiro	japan aerospace exploration agency (jaxa), japan	UNSPECIFIED	UNSPECIFIED
Matsuoka, Moe	Institute of Space and Astronautical Science (ISAS), Japan Aerospace Exploration Agency, Sagamihara, Japan	UNSPECIFIED	UNSPECIFIED
Hiroi, Takahiro	Department of Geological Sciences, Brown University, Providence, RI 02912, USA	UNSPECIFIED	UNSPECIFIED
Takir, Driss	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Nakamura, Tomoki	Tohoku University, Sendai	UNSPECIFIED	UNSPECIFIED
Abe, Masanao	ISAS, Japan	UNSPECIFIED	UNSPECIFIED
Ohtake, Makiko	Institute of Space and Astronautical Science (ISAS), Japan Aerospace Exploration Agency, Sagamihara, Japan	UNSPECIFIED	UNSPECIFIED
Matsuura, Shuji	Kwansei Gakuin University, Hyogo, Japan	UNSPECIFIED	UNSPECIFIED
Watanabe, S	Nagoya University, Nagoya, Japan	UNSPECIFIED	UNSPECIFIED
Yoshikawa, Makoto	Institute of Space and Astronautical Science (ISAS), Japan Aerospace Exploration Agency, Sagamihara, Japan	UNSPECIFIED	UNSPECIFIED
Saiki, Takanao	isas/jaxa japan	UNSPECIFIED	UNSPECIFIED
Tanaka, Satoshi	Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency, Sagamihara, Japan	UNSPECIFIED	UNSPECIFIED
Okada, Tatsuaki	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED

Date:

2019

Refereed publication:

Open Access:

Yes

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Volume:

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 Start Date:

15 September 2019

Event End Date:

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:

24 Apr 2024 20:35

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