DeepUNet: A Deep Fully Convolutional Network for Pixel-level Sea-Land Segmentation

1 Sep 2017 Ruirui Li Wenjie Liu Lei Yang Shihao Sun Wei Hu Fan Zhang Wei Li

Semantic segmentation is a fundamental research in remote sensing image processing. Because of the complex maritime environment, the sea-land segmentation is a challenging task... (read more)

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Methods used in the Paper


METHOD TYPE
Concatenated Skip Connection
Skip Connections
U-Net
Semantic Segmentation Models
Kaiming Initialization
Initialization
Batch Normalization
Normalization
ReLU
Activation Functions
Max Pooling
Pooling Operations
Softmax
Output Functions
SegNet
Semantic Segmentation Models
Convolution
Convolutions