A Fully-Automated Framework for Mineral Identification on Martian Surface Using Supervised Learning Models

A Fully-Automated Framework for Mineral Identification on Martian Surface Using Supervised Learning Models

The availability of various spectral libraries for CRISM (Compact Reconnaissance Imaging Spectrometer for Mars) data on NASA PDS (Planetary Data System) hugely facilitated the research on the surface mineralogy of Mars, however, building supervised learning models for mineral mapping appears to be c...

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Bibliographic Details
Main Authors: Priyanka Kumari, Sampriti Soor, Amba Shetty, Shashidhar G. Koolagudi
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
CRISM
MICA library
mineral mapping
supervised learning
spectra augmentation
absorption extraction
Online Access:https://ieeexplore.ieee.org/document/10038675/

Internet

https://ieeexplore.ieee.org/document/10038675/

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