/Pytorch_Remote-Sensing-Image-Classification

Based on Google Earth remote sensing images of Wuhan in 2016, using pre-trained models Alexnet, VGG11, Resnet-50 and Resnet-101 for transfer learning, the classification model can predict the category of unknown remote sensing images with 90.48% accuracy (ResNet-101)

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Pytorch_Remote-Sensing-Image-Classification

Based on Google Earth remote sensing images of Wuhan in 2016, using pre-trained models Alexnet, VGG11, Resnet-50 and Resnet-101 for transfer learning, the classification model can predict the category of unknown remote sensing images with 90.48% accuracy (ResNet-101)

基于2016年武汉市GoogleEarth遥感影像，利用预训练模型Alexnet、VGG11、Resnet-50和Resnet-101进行迁移学习，分类模型可预测未知遥感影像的类别