Improved Three-Dimensional Inception Networks for Hyperspectral Remote Sensing Image Classification
Convolutional neural networks (CNNs) have been applied to hyperspectral image classification. Typically, fixed convolution kernel sizes are used in CNNs. This may be complicated by the high-dimensional features and the spatial-spectral features variability of hyperspectral data. In such cases, the f...
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10087213/ |