Evaluating the Performance of PRISMA Shortwave Infrared Imaging Sensor for Mapping Hydrothermally Altered and Weathered Minerals Using the Machine Learning Paradigm

Evaluating the Performance of PRISMA Shortwave Infrared Imaging Sensor for Mapping Hydrothermally Altered and Weathered Minerals Using the Machine Learning Paradigm

Satellite images provide consistent and frequent information that can be used to estimate mineral resources over a large spatial extent. Advances in spaceborne hyperspectral remote sensing (HRS) and machine learning can help to support various remote-sensing-based applications, including mineral exp...

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Bibliographic Details
Main Authors: Neelam Agrawal, Himanshu Govil, Gaurav Mishra, Manika Gupta, Prashant K. Srivastava
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Remote Sensing
Subjects:
PRISMA
mineral mapping
machine learning
dimensionality reduction
hyperspectral remote sensing
Online Access:https://www.mdpi.com/2072-4292/15/12/3133

Internet

https://www.mdpi.com/2072-4292/15/12/3133

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