Data_fusion_HSI_LiDAR
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HSI and LiDAR image fusion based on Deep Learning
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Data_fusion_HSI_LiDAR
HSI and LiDAR image fusion based on Deep Learning
Author
Platform
- Ubuntu 14.04
- CUDA 8.0
- GTX 850M
- tensorflow-1.4
- python2/python3
Architecture of Convolutional Neural Network used
input- [conv - relu - maxpool] x 2 - [affine - relu] x 2 - affine - softmax

Files
./HSI/Load_data.py Load HSI source data and make Train/Test files as patch
./HSI/CNN.py define CNN parameters
./HSI/CNN_feed.py Train HSI CNN weights
./HSI/run_cnn.py HSI classification using pre-trained CNN parameters
./HSI/Spatial_dataset.py Provides a highly flexible Dataset class for handling the HSI data.
./HSI/Get_feature.py Save last-pooling-layer-flat feature
./DSM Almost the same as ./HSI
Result
