fenlei

代码说明：

  利用深度学习进行遥感图像场景分类 这里我们对NWPU-RESISC45数据集的场景图像进行分类 我们将卷积神经网络应用于图像分类。我们从头开始训练数据集。此外，还应用了预先训练的VGG16 abd ResNet50进行迁移学习。(Scene Classification of Remote Sensing Images Using Deep Learning Here we classify scene images from NWPU-RESISC45 dataset We apply convolutional neural network to image classification. We start training data sets from scratch. In addition, a pre-trained VGG16 abd ResNet50 is used for migration learning.)

文件列表：

A-System-for-Effecient-Remote-Sensing-Image-Scene-Classification--master\imagenet_utils.py, 1566 , 2017-12-25
A-System-for-Effecient-Remote-Sensing-Image-Scene-Classification--master\README.md, 718 , 2017-12-25
A-System-for-Effecient-Remote-Sensing-Image-Scene-Classification--master\resnet50.py, 12097 , 2017-12-25
A-System-for-Effecient-Remote-Sensing-Image-Scene-Classification--master\resnet50_Transfer_Learning.py, 5620 , 2017-12-25
A-System-for-Effecient-Remote-Sensing-Image-Scene-Classification--master\training_from_scratch.py, 15886 , 2017-12-25
A-System-for-Effecient-Remote-Sensing-Image-Scene-Classification--master\vgg16.py, 8740 , 2017-12-25
A-System-for-Effecient-Remote-Sensing-Image-Scene-Classification--master\vgg16_Transfer_Learning.py, 5349 , 2017-12-25
A-System-for-Effecient-Remote-Sensing-Image-Scene-Classification--master, 0 , 2017-12-25