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deeplab V3和unet

于 2019-05-31 发布文件大小:6836KB

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下载积分: 1 下载次数: 7

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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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小波算法，在计算式，通过图像对其进行分析估计，可以直观的看到它对函数的时域和频域的改变(Wavelet algorithm, calculation, estimated by image analysis of them, you can visually see that it functions in time domain and frequency domain changes using the compression miu worth PSO )

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图像的傅里叶变换。在代码中实现了将两幅图像的幅度谱和相位谱进行交换，进而理解两者在图像显示中的作用(Fourier transform of the image. Implemented in the code will be two images amplitude spectrum and phase spectrum of exchange, and thus to understand both the role of the image display)

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