{"title":"High resolution olivine abundance mapping in the Copernicus crater combining spectral data of Chandrayaan-1 M3 and Kaguya MI","authors":"Yehor Surkov , Urs Mall , Viktor Korokhin","doi":"10.1016/j.pss.2025.106039","DOIUrl":null,"url":null,"abstract":"<div><div>We present a technique for improving the spatial resolution of satellite spectrophotometric data of the Moon's surface using an artificial neural network. We demonstrate this approach using the high-spectral low-spatial resolution Moon Mineralogy Mapper (M<sup>3</sup>) spectrophotometer and the low-spectral high-spatial resolution Multiband Imager (MI) Kaguya datasets for super-resolution olivine mapping over the Copernicus crater. The super-resolution of spectral maps is achieved by correlating spectral data of these instruments using a multilayer perceptron. An important advantage of the method is the use of a single data frame from each dataset to study a particular lunar region. The obtained maps of the olivine abundance provide new spatial context of the investigated mineral distribution: olivine-rich surface units become visible primarily as flow tubes, lava ponds on the crater walls and boulder outcrops associated with high olivine content (up to 90 vol%) at the central peak of the investigated crater. The content of the olivine-reaches deposits of the area on the central peak reaches up to 35 vol % of the lunar regolith.</div></div>","PeriodicalId":20054,"journal":{"name":"Planetary and Space Science","volume":"256 ","pages":"Article 106039"},"PeriodicalIF":1.8000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Planetary and Space Science","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0032063325000066","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ASTRONOMY & ASTROPHYSICS","Score":null,"Total":0}
引用次数: 0
Abstract
We present a technique for improving the spatial resolution of satellite spectrophotometric data of the Moon's surface using an artificial neural network. We demonstrate this approach using the high-spectral low-spatial resolution Moon Mineralogy Mapper (M3) spectrophotometer and the low-spectral high-spatial resolution Multiband Imager (MI) Kaguya datasets for super-resolution olivine mapping over the Copernicus crater. The super-resolution of spectral maps is achieved by correlating spectral data of these instruments using a multilayer perceptron. An important advantage of the method is the use of a single data frame from each dataset to study a particular lunar region. The obtained maps of the olivine abundance provide new spatial context of the investigated mineral distribution: olivine-rich surface units become visible primarily as flow tubes, lava ponds on the crater walls and boulder outcrops associated with high olivine content (up to 90 vol%) at the central peak of the investigated crater. The content of the olivine-reaches deposits of the area on the central peak reaches up to 35 vol % of the lunar regolith.
期刊介绍:
Planetary and Space Science publishes original articles as well as short communications (letters). Ground-based and space-borne instrumentation and laboratory simulation of solar system processes are included. The following fields of planetary and solar system research are covered:
• Celestial mechanics, including dynamical evolution of the solar system, gravitational captures and resonances, relativistic effects, tracking and dynamics
• Cosmochemistry and origin, including all aspects of the formation and initial physical and chemical evolution of the solar system
• Terrestrial planets and satellites, including the physics of the interiors, geology and morphology of the surfaces, tectonics, mineralogy and dating
• Outer planets and satellites, including formation and evolution, remote sensing at all wavelengths and in situ measurements
• Planetary atmospheres, including formation and evolution, circulation and meteorology, boundary layers, remote sensing and laboratory simulation
• Planetary magnetospheres and ionospheres, including origin of magnetic fields, magnetospheric plasma and radiation belts, and their interaction with the sun, the solar wind and satellites
• Small bodies, dust and rings, including asteroids, comets and zodiacal light and their interaction with the solar radiation and the solar wind
• Exobiology, including origin of life, detection of planetary ecosystems and pre-biological phenomena in the solar system and laboratory simulations
• Extrasolar systems, including the detection and/or the detectability of exoplanets and planetary systems, their formation and evolution, the physical and chemical properties of the exoplanets
• History of planetary and space research