A Supervised Method for Nonlinear Hyperspectral Unmixing

A Supervised Method for Nonlinear Hyperspectral Unmixing

Due to the complex interaction of light with the Earth’s surface, reflectance spectra can be described as highly nonlinear mixtures of the reflectances of the material constituents occurring in a given resolution cell of hyperspectral data. Our aim is to estimate the fractional abundance m...

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Bibliographic Details
Main Authors: Bikram Koirala, Mahdi Khodadadzadeh, Cecilia Contreras, Zohreh Zahiri, Richard Gloaguen, Paul Scheunders
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Remote Sensing
Subjects:
hyperspectral unmixing
spectral mixing models
machine learning algorithms
Online Access:https://www.mdpi.com/2072-4292/11/20/2458

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