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.

Filename	Size	Update
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

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