Dette er en utdatert versjon publisert 2023-03-27. Les den nyeste versjonen.

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Forfattere

  • Gefei Kong Norwegian University of Science and Technology (NTNU)
  • English English English
  • English English English
  • English English Norwegian University of Science and Technology (NTNU)

DOI:

https://doi.org/10.5617/nmi.10157

Sammendrag

In this paper, a simple boundary-enhanced network and a new multi-task loss function are proposed for building segmentation from multiple remote sensing sources. The experimental results on MapAI-challenge dataset demonstrates that our network can segment buildings from remote sensing data, especially on the image & laser multi-source dataset. The mean score of IoU and BIoU is 0.8995 for task 1 and 0.9155 for task 2 on the MapAI validation dataset and 0.5239 for task 1, and 0.7038 for task 2 on the MapAI test dataset.

Publisert

2023-03-27

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