Kernel-Based Nonlinear Spectral Unmixing with Dictionary Pruning

Kernel-Based Nonlinear Spectral Unmixing with Dictionary Pruning

Spectral unmixing extracts subpixel information by decomposing observed pixel spectra into a collection of constituent spectra signatures and their associated fractions. Considering the restriction of linear unmixing model, nonlinear unmixing algorithms find their applications in complex scenes. Ker...

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Bibliographic Details
Main Authors: Zeng Li, Jie Chen, Susanto Rahardja
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Remote Sensing
Subjects:
hyperspectral images
spectral unmixing
nonlinear unmixing
kernel model
sparse model
Online Access:http://www.mdpi.com/2072-4292/11/5/529

Internet

http://www.mdpi.com/2072-4292/11/5/529

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