Hyperspectral Image Classification via Information Theoretic Dimension Reduction

Hyperspectral Image Classification via Information Theoretic Dimension Reduction

Hyperspectral images (HSIs) are one of the most successfully used tools for precisely and potentially detecting key ground surfaces, vegetation, and minerals. HSIs contain a large amount of information about the ground scene; therefore, object classification becomes the most difficult task for such...

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Bibliographic Details
Main Authors: Md Rashedul Islam, Ayasha Siddiqa, Masud Ibn Afjal, Md Palash Uddin, Anwaar Ulhaq
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Remote Sensing
Subjects:
hyperspectral image classification
subset detection
MNF
CCRE
feature reduction
spectral features
Online Access:https://www.mdpi.com/2072-4292/15/4/1147

Internet

https://www.mdpi.com/2072-4292/15/4/1147

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