TAEF

we provide a code for TAEF: Transformer-Based Autoencoder Framework for Nonlinear Hyperspectral Anomaly Detection Detection. (submitted to TGRS)

running code

python main_TAEF.py

required changes when running code

line 19 in main_TAEF: path line 163 in main_TAEF: path

dataset

we provide two datasets for verifying: pavia, MUUFL.

required changes when changing dataset

line 17 in main_TAEF: loadData line 75 in main_TAEF: stop loss line 62 in net_TAEF: net setting

note

we have provide the output of the preprocessing and the patch generation method: pavia_split.mat ,and the main_TAEF can use it directly. For other datasets, you can change the line 5 and line 93 of preprocessing_patch.m to generate the corresponding output.