Paper Reading-2: Research on Building Segmentation in Large-Scale Remote Sensing Images Based on Deep Learning

1. The context information capture module is adopted in the network. By expanding the receptive field, while retaining the detailed information, the multi-scale feature fusion is carried out in the central part, which alleviates the problem of the loss of detailed information in the traditional algorithm; Establish long-distance dependencies between them;

2. Segmentation network: edge extraction network + detail optimization network

E-net 

D-not

Concatenate the original image with the 3-channel segmentation result of E-Net as the 6-channel input of D-Net

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Origin blog.csdn.net/weixin_61235989/article/details/130222143