Uncovering Plastic Litter Spectral Signatures: A Comparative Study of Hyperspectral Band Selection Algorithms

Uncovering Plastic Litter Spectral Signatures: A Comparative Study of Hyperspectral Band Selection Algorithms

This article provides insights into the optical signatures of plastic litter based on a published laboratory-scale reflectance data set (350–2500 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>nm</mi>...

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Bibliographic Details
Main Authors: Mohammadali Olyaei, Ardeshir Ebtehaj
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Remote Sensing
Subjects:
plastic litter
hyperspectral remote sensing
band selection
sparse variable selection
hierarchical clustering
density peak clustering
Online Access:https://www.mdpi.com/2072-4292/16/1/172

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https://www.mdpi.com/2072-4292/16/1/172

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