Integrating MNF and HHT Transformations into Artificial Neural Networks for Hyperspectral Image Classification
The critical issue facing hyperspectral image (HSI) classification is the imbalance between dimensionality and the number of available training samples. This study attempted to solve the issue by proposing an integrating method using minimum noise fractions (MNF) and Hilbert–Huang transform (HHT) tr...
Main Authors: | Ming-Der Yang, Kai-Hsiang Huang, Hui-Ping Tsai |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-07-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/12/14/2327 |
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