Table 1.
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Roles of the three data sets.

Data setRoles
Training set(1) Generate spectral patches to construct a training set for an autoencoder (Subsection 4.2).
(2) Learn in optimizing the configuration (Section 7).
(3) Train the BP network (Section 6).
Validation setEvaluate the performance of the learned spectral parametrization in optimizing the configuration (Section 7).
Test setEvaluate the performance of the proposed scheme (Section 8).
Data setRoles
Training set(1) Generate spectral patches to construct a training set for an autoencoder (Subsection 4.2).
(2) Learn in optimizing the configuration (Section 7).
(3) Train the BP network (Section 6).
Validation setEvaluate the performance of the learned spectral parametrization in optimizing the configuration (Section 7).
Test setEvaluate the performance of the proposed scheme (Section 8).
Table 1.
Open in new tab

Roles of the three data sets.

Data setRoles
Training set(1) Generate spectral patches to construct a training set for an autoencoder (Subsection 4.2).
(2) Learn in optimizing the configuration (Section 7).
(3) Train the BP network (Section 6).
Validation setEvaluate the performance of the learned spectral parametrization in optimizing the configuration (Section 7).
Test setEvaluate the performance of the proposed scheme (Section 8).
Data setRoles
Training set(1) Generate spectral patches to construct a training set for an autoencoder (Subsection 4.2).
(2) Learn in optimizing the configuration (Section 7).
(3) Train the BP network (Section 6).
Validation setEvaluate the performance of the learned spectral parametrization in optimizing the configuration (Section 7).
Test setEvaluate the performance of the proposed scheme (Section 8).
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