├── .gitignore ├── README.md ├── demo ├── create_dataset.ipynb ├── predict.ipynb └── train.ipynb ├── src ├── .DS_Store ├── __init__.py ├── __pycache__ │ ├── __init__.cpython-37.pyc │ ├── cnn.cpython-37.pyc │ ├── data.cpython-37.pyc │ ├── model.cpython-37.pyc │ ├── train.cpython-37.pyc │ └── utils.cpython-37.pyc ├── cnn.py ├── data.py ├── model.py ├── train.py └── utils.py ├── start_jupyter.ps1 ├── start_tensorboard.ps1 ├── 基于 U-Net 网络的遥感图像语义分割_郭子睿.pdf └── 毕业论文 ├── Bibs └── mybib.bib ├── Figures ├── sample_dataset.png ├── unet_construction.png ├── 图表 │ ├── 交叉熵 │ │ ├── accuracy.png │ │ ├── cost.png │ │ ├── cross_entropy.png │ │ ├── f1_score.png │ │ ├── precision.png │ │ └── recall.png │ └── 类别平衡交叉熵 │ │ ├── accuracy.png │ │ ├── accuracy.svg │ │ ├── cost.png │ │ ├── cost.svg │ │ ├── cross_entropy.png │ │ ├── cross_entropy.svg │ │ ├── f1_score.png │ │ ├── f1_score.svg │ │ ├── precision.png │ │ ├── precision.svg │ │ ├── recall.png │ │ └── recall.svg ├── 结果 │ ├── austin29.png │ ├── austin29_gt.png │ ├── austin29_交叉熵.png │ ├── austin29_平衡.png │ ├── g1.png │ ├── g2.png │ ├── vienna8.png │ ├── vienna8_gt.png │ ├── vienna8_交叉熵.png │ ├── vienna8_交叉熵_中值滤波.png │ ├── vienna8_平衡.png │ └── vienna8_平衡_中值滤波.png └── 错误 │ ├── 中等建筑.png │ ├── 建筑过大.png │ ├── 建筑过暗.png │ ├── 树木遮挡.png │ ├── 汽车错认.png │ └── 道路错认.png ├── chap1.tex ├── chap2.tex ├── chap3.tex ├── chap4.tex ├── chap5.tex └── 字体 ├── KaiTi.ttf ├── SimSun.ttf └── simhei.ttf /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gzr2017/UNet-AerialImageSegmentation/HEAD/.gitignore -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gzr2017/UNet-AerialImageSegmentation/HEAD/README.md -------------------------------------------------------------------------------- /demo/create_dataset.ipynb: 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