Deep Spatial-Spectral Joint-Sparse Prior Encoding Network for Hyperspectral Target Detection
The python code implementation of the paper "Deep Spatial-Spectral Joint-Sparse Prior Encoding Network for Hyperspectral Target Detection"
Ubuntu 18.04 cuda 11.0
Python 3.7 Pytorch 1.11
dataset floder stores training and testing dataset. model floder stores the pretrained model for Texas Coast dataset.
run the train.py include train_background and train_target
run the test.py to generate the loss map