Shengjie Liu (University of Southern California), Lu Zhang (University of Southern California)
Data and Code for the published paper in IEEE Geoscience and Remote Sensing Letters: https://doi.org/10.1109/LGRS.2024.3398689
This is a GitHub repo at https://github.com/skrisliu/dfgp
pytorch==2.0.1
gpytorch==1.11
Tested on Python 3.9, Ubuntu 18.04.6 LTS, with 1080 Ti 11GB GPU. Running on CPU is possible but significantly slow.
This repo includes the MODIS-LA data, with trained CNN network and deep features. For the EMIT-BJ data, download at Google Drive.
data/modis/im.npy # features, 240*300*13, the last two dimensions are xy coordinates
data/modis/aod.npy # label, 240*300
data/modis/trainmask.npy # train mask, 240*300
data/modis/testmask.npy # test mask, 240*300
data/modis/fea64.npy # deep features, 240*300*64
data/modis/cnn.pt # trained CNN model
Data required to run the MODIS-LA demo are included in this repo.
Python demo12_modis_dfgp.py
Python demo12_modis_dfgps.py
Python demo11_modis_cnn.py
Require networks.py and rscls.py to clip the image and load network