deeplab V3和unet
代码说明：
利用全卷积神经网络，实现图像的语义分割，基于tensorflow的keras可以直接运行(Using the full convolutional neural network to achieve semantic segmentation of images, keras based on tensorflow can be run directly)
文件列表：
Semantic-Segmentation-of-Remote-Sensing-Images-master, 0 , 2019-04-23
Semantic-Segmentation-of-Remote-Sensing-Images-master\README.md, 1173 , 2019-04-23
Semantic-Segmentation-of-Remote-Sensing-Images-master\img, 0 , 2019-04-23
Semantic-Segmentation-of-Remote-Sensing-Images-master\img\612022_x_0.png, 381128 , 2019-04-23
Semantic-Segmentation-of-Remote-Sensing-Images-master\img\612022_x_1.png, 239873 , 2019-04-23
Semantic-Segmentation-of-Remote-Sensing-Images-master\img\612022_x_2.png, 154734 , 2019-04-23
Semantic-Segmentation-of-Remote-Sensing-Images-master\img\612022_x_3.png, 28756 , 2019-04-23
Semantic-Segmentation-of-Remote-Sensing-Images-master\img\6120_2_2_10.png, 1085927 , 2019-04-23
Semantic-Segmentation-of-Remote-Sensing-Images-master\img\6120_2_2raw.jpg, 5127372 , 2019-04-23
Semantic-Segmentation-of-Remote-Sensing-Images-master\make_data.py, 7686 , 2019-04-23
Semantic-Segmentation-of-Remote-Sensing-Images-master\model.py, 20610 , 2019-04-23
Semantic-Segmentation-of-Remote-Sensing-Images-master\plot.py, 2859 , 2019-04-23
Semantic-Segmentation-of-Remote-Sensing-Images-master\train.py, 5064 , 2019-04-23
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