BSDR: A Data-Efficient Deep Learning-Based Hyperspectral Band Selection Algorithm Using Discrete Relaxation

BSDR: A Data-Efficient Deep Learning-Based Hyperspectral Band Selection Algorithm Using Discrete Relaxation

Hyperspectral band selection algorithms are crucial for processing high-dimensional data, which enables dimensionality reduction, improves data analysis, and enhances computational efficiency. Among these, attention-based algorithms have gained prominence by ranking bands based on their discriminati...

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Bibliographic Details
Main Authors: Mohammad Rahman, Shyh Wei Teng, Manzur Murshed, Manoranjan Paul, David Brennan
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
band selection
discrete relaxation
gradient-based search
hyperspectral
data-efficient
Online Access:https://www.mdpi.com/1424-8220/24/23/7771
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