Efficient Patch-Wise Semantic Segmentation for Large-Scale Remote Sensing Images

  title={Efficient Patch-Wise Semantic Segmentation for Large-Scale Remote Sensing Images},
  author={Y. Liu and Qirui Ren and Jiahui Geng and M. Ding and J. Li},
  journal={Sensors (Basel, Switzerland)},
  • Y. Liu, Qirui Ren, +2 authors J. Li
  • Published 2018
  • Computer Science, Medicine
  • Sensors (Basel, Switzerland)
  • Efficient and accurate semantic segmentation is the key technique for automatic remote sensing image analysis. While there have been many segmentation methods based on traditional hand-craft feature extractors, it is still challenging to process high-resolution and large-scale remote sensing images. In this work, a novel patch-wise semantic segmentation method with a new training strategy based on fully convolutional networks is presented to segment common land resources. First, to handle the… CONTINUE READING
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