Integration of Selective Dimensionality Reduction Techniques for Mineral Exploration Using ASTER Satellite Data

Integration of Selective Dimensionality Reduction Techniques for Mineral Exploration Using ASTER Satellite Data

There are a significant number of image processing methods that have been developed during the past decades for detecting anomalous areas, such as hydrothermal alteration zones, using satellite images. Among these methods, dimensionality reduction or transformation techniques are known to be a robus...

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Bibliographic Details
Main Authors: Hodjat Shirmard, Ehsan Farahbakhsh, Amin Beiranvand Pour, Aidy M Muslim, R. Dietmar Müller, Rohitash Chandra
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Remote Sensing
Subjects:
dimensionality reduction
principal component analysis
independent component analysis
minimum noise fraction
ASTER
hydrothermal alteration
Online Access:https://www.mdpi.com/2072-4292/12/8/1261

Internet

https://www.mdpi.com/2072-4292/12/8/1261

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