Semantic Segmentation for Urban Planning Maps Based on U-Net

@article{Guo2018SemanticSF,
  title={Semantic Segmentation for Urban Planning Maps Based on U-Net},
  author={Zhiling Guo and Hiroaki Shengoku and Guangming Wu and Qi Chen and Wei Yuan and Xiaodan Shi and Xiaowei Shao and Yongwei Xu and Ryosuke Shibasaki},
  journal={IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium},
  year={2018},
  pages={6187-6190}
}
  • Zhiling Guo, Hiroaki Shengoku, +6 authors Ryosuke Shibasaki
  • Published in
    IGARSS - IEEE International…
    2018
  • Computer Science, Mathematics
  • The automatic digitizing of paper maps is a significant and challenging task for both academia and industry. As an important procedure of map digitizing, the semantic segmentation section is mainly relied on manual visual interpretation with low efficiency. In this study, we select urban planning maps as a representative sample and investigate the feasibility of utilizing U-shape fully convolutional based architecture to perform end-to-end map semantic segmentation. The experimental results… CONTINUE READING
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