Introduction - If you have any usage issues, please Google them yourself
Using convolution neural network to classify hyperspectral remote sensing data, the data source is Pavia University hyperspectral data.
Folder log -- Log folder, store TensorBorad logs, network parameter files, obfuscation matrix diagrams
Folder Patch -- Stores slice results of data processing
Folder PaviaU -- Place for Hyperspectral Data Download and Storage
Folder predicted -- CNN classification results of original images
Data.py -- Data processing of original hyperspectral images to generate slices
Net.py--Neural Network Model
Train.py--Training Neural Network
Utils. py -- Functions to be used
Show.py -- Classification of raw data using trained neural network model