Research Article
FMRSS Net: Fast Matrix Representation-Based Spectral-Spatial Feature Learning Convolutional Neural Network for Hyperspectral Image Classification
| Parameter Settings for Indian Pines/Salinas |
| INPUT: | (i) Input data: () | (ii) Learning rate: 1 | (iii) Batch size: 100 | CONVOLUTION 1: | (i) 6 feature maps | (ii) Kernel size: () | (iii) Feature map size: () | (iv) Training parameters number: 156 | (v) Activation function: Sigmoid | MAX POOLING: | (i) 6 feature maps | (ii) Kernel size: | (iii) Feature map size: () | (iv) Training parameters number: 12 | (v) Pooling function: Max pooling sampling | CONVOLUTION 2: | (i) 12 feature maps | (ii) Kernel size: | (iii) Feature map size: () | (iv) Training parameters number: 300 | (v) Activation function: Sigmoid | FULL CONNECTION: | (i) Units number: | (ii) Training parameters number: 19300 | (iii) Activation function: Softmax | OUTPUT: | (i) Units number , named classes number | (ii) Training parameters number: 1616 |
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