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Project description
Convolutional Neural Networks Based Remote Sensing Scene Classification under Clear and Cloudy Environments
Accepted by ICCVW 2021
Remote Sensing scene image classification under clear and cloudy environments.
Overview architecture of the proposed GLNet for the RS scene classification under clear and cloudy environments.
Required libraries
python 3.6
pytorch 1.0+
numpy
PIl
torchvision
Usage
-
clone this repo
git clone https://github.com/wuchangsheng951/GLNET.git
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download the dataset from google drive
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train the baseline model
python baseline.py
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load the model dir you trained in model.py
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run the training by command
python train.py
Citation
{Huiming Sun, Yuewei Lin, Qin Zou, Shaoyue Song, Jianwu Fang, Hongkai Yu. Convolutional Neural Networks Based Remote Sensing Scene Classification under Clear and Cloudy Environments. IEEE International Conference on Computer Vision Workshop (ICCVW), 2021.}
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