Using Physically-Modeled Synthetic Data to Assess Hyperspectral Unmixing Approaches

Using Physically-Modeled Synthetic Data to Assess Hyperspectral Unmixing Approaches

This paper considers an experimental approach for assessing algorithms used to exploit remotely sensed data. The approach employs synthetic images that are generated using physical models to make them more realistic while still providing ground truth data for quantitative evaluation. This approach c...

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Bibliographic Details
Main Authors: Gustavious Williams, Todd Moon, Matthew Stites, Jacob Gunther
Format: Article
Language:English
Published: MDPI AG 2013-04-01
Series:Remote Sensing
Subjects:
independent component analysis (ICA)
FastICA
hyperspectral unmixing
abundance quantification
DIRSIG
Online Access:http://www.mdpi.com/2072-4292/5/4/1974

Internet

http://www.mdpi.com/2072-4292/5/4/1974

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