Predicting spectral channels related to mineralogy from CRISM spectral bands using deep learning – Aman SAHANI
Aman SAHANI
Master's thesis
Predicting spectral channels related to mineralogy from CRISM spectral bands using deep learning
Abstract:
The Mars Reconnaissance Orbiter (MRO) is equipped with a suite of instruments that collectively generate a vast and diverse array of imaging data for comprehensive investigations of the Martian surface. Notably, the hyper-spectral Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) captures reflective information across multiple spectral bands. However, CRISM coverage is partial, limiting …moreAbstract:
The Mars Reconnaissance Orbiter (MRO) is equipped with a suite of instruments that collectively generate a vast and diverse array of imaging data for comprehensive investigations of the Martian surface. Notably, the hyper-spectral Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) captures reflective information across multiple spectral bands. However, CRISM coverage is partial, limiting …more
Language used: English
Date on which the thesis was submitted / produced: 20. 8. 2024
Thesis defence
- Supervisor: Dr. Benedikt Elser
Citation record
ISO 690-compliant citation record:
SAHANI, Aman. \textit{Predicting spectral channels related to mineralogy from CRISM spectral bands using deep learning}. Online. Master's thesis. České Budějovice: University of South Bohemia in České Budějovice, Faculty of Science. 2024. Available from: https://theses.cz/id/gje848/.
The right form of listing the thesis as a source quoted
SAHANI, Aman. Predicting spectral channels related to mineralogy from CRISM spectral bands using deep learning. České Budějovice, 2024. diplomová práce (Mgr.). JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH. Přírodovědecká fakulta
Full text of thesis
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Institution archiving the thesis and making it accessible: JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH, Přírodovědecká fakultaUNIVERSITY OF SOUTH BOHEMIA IN ČESKÉ BUDĚJOVICE
Faculty of ScienceMaster programme / field:
Artificial Intelligence and Data Science / Artificial Intelligence and Data Science
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