Adaptive Taylor Kolmogorov–Arnold Network for Hyperspectral Image Classification
Traditional deep learning models for hyperspectral image (HSI) classification are limited by static activation functions and linear weights, hindering the extraction of complex features effectively. The recent Kolmogorov–Arnold (KA) network, by introducing learnable activation functions,...
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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/10981912/ |
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