A Multi-Kernel Mode Using a Local Binary Pattern and Random Patch Convolution for Hyperspectral Image Classification
With the development of deep learning technology, more and more scholars have applied it to hyperspectral image (HSI) classification to improve classification accuracy. However, these deep-learning methods not only take a lot of time in the pre-training phase, but also have relatively limited classi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
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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/9417625/ |