Collaborative Superpixelwised PCA for Hyperspectral Image Classification
Extracting spectral-spatial features from Hyperspectral imagery (HSI) has been proven to be efficient for classification tasks. A recently developed superpixelwised principal component analysis (PCA) (SuperPCA), which has shown its promising performance, is a prominent technique in spectral ...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10816304/ |
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