Hourglass-ShapeNetwork Based Semantic Segmentation for High Resolution Aerial Imagery

@article{Liu2017HourglassShapeNetworkBS,
  title={Hourglass-ShapeNetwork Based Semantic Segmentation for High Resolution Aerial Imagery},
  author={Yu Liu and Duc Minh Nguyen and Nikos Deligiannis and Wenrui Ding and Adrian Munteanu},
  journal={Remote Sensing},
  year={2017},
  volume={9},
  pages={522}
}
A new convolution neural network (CNN) architecture for semantic segmentation of high resolution aerial imagery is proposed in this paper. The proposed architecture follows an hourglass-shaped network (HSN) design being structured into encoding and decoding stages. By taking advantage of recent advances in CNN designs, we use the composed inception module to replace common convolutional layers, providing the network with multi-scale receptive areas with rich context. Additionally, in order to… CONTINUE READING

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