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The GAN-based method is used to generate high-resolution remote sensing for data augmentation and image classification.

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weihancug/GAN-based-HRRS-Sample-Generation-for-Image-Classification

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GAN-based-HRRS-Sample-Generation-for-Image-Classification

The GAN-based method is used to generate high-resolution remote sensing for data augmentation and image classification.

The deep learning framework is: Tensorflow.

Python version: 2.7

Cuda version: 9.1

Teminal command:

The dataset is UCM, NWPU-RESISC45: (1) UC Merced dataset UC Merced dataset

(2) NWPU-RESISC45 dataset NWPU-RESISC

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The GAN-based method is used to generate high-resolution remote sensing for data augmentation and image classification.

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