Hyperspectral Image Classification using:
- DR-CNN (Dimensionality reduction and CNN)
- f-norm reduction
- PCA reduction
The model has been trained on the Indiana Pines dataset.
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| Loss V/s epoch | Accuracy V/s epoch |
|---|---|
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| Layer (type) | Output Shape | Param |
|---|---|---|
| conv2d_7 (Conv2D) | (None, 14, 14, 16) | 416 |
| max_pooling2d_7 | (MaxPooling2 (None, 7, 7, 16) | 0 |
| conv2d_8 (Conv2D) | (None, 4, 4, 32) | 8224 |
| max_pooling2d_8 | (MaxPooling2 (None, 2, 2, 32) | 0 |
| flatten_4 (Flatten) | (None, 128) | 0 |
| dense_7 (Dense) | (None, 100) | 12900 |
| dense_8 (Dense) | (None, 17) | 1717 |
- Total params: 23,257
- Trainable params: 23,257
- Non-trainable params: 0