Mine Diversified Contents of Multispectral Cloud Images Along With Geographical Information for Multilabel Classification
Dongxiaoyuan Zhao; Qiong Wang; Jinglin Zhang; Cong Bai
IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-15, 2023, Art no. 4102415, doi: 10.1109/TGRS.2023.3270204. [paper link]
[click to download LSCIDMR-V2]
fetch code: 9999
torchvision version: torchvision-0.11.0%2Bcu111-cp38-cp38-linux_x86_64.whl
torch version: torch-1.10.0%2Bcu111-cp38-cp38-linux_x86_64.whl
pip install requirements.txt
-
dowload trained model [click to download trained model]
fetch code:
9999
-
move the downloaded folder
/final_model
into/MS_GoGo/results
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run inference
python main.py --dataset=LSCIDMR_16c\ --model=ms_gogo\ --backbone=cnn\ --inference\ --use_loc\ --use_month\ --optim=adam\ --saved_model_name=final_model\ --layers=2
python main.py --model=ms_gogo --batch_size=64 --use_month --use_loc
@ARTICLE{ms_gogo,
author={Zhao, Dongxiaoyuan and Wang, Qiong and Zhang, Jinglin and Bai, Cong},
journal={IEEE Transactions on Geoscience and Remote Sensing},
title={Mine Diversified Contents of Multispectral Cloud Images Along With Geographical Information for Multilabel Classification},
year={2023},
volume={61},
number={},
pages={1-15},
doi={10.1109/TGRS.2023.3270204}
}