GPU-accelerated main road extraction in Polarimetric SAR images based on MRF

@article{Cheng2016GPUacceleratedMR,
  title={GPU-accelerated main road extraction in Polarimetric SAR images based on MRF},
  author={Jianghua Cheng and Wenxia Ding and Xiangwei Zhu and Gui Gao},
  journal={IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society},
  year={2016},
  pages={928-932}
}
  • Jianghua Cheng, Wenxia Ding, Gui Gao
  • Published 1 October 2016
  • Environmental Science
  • IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society
Road extraction in SAR (Synthetic Aperture Radar) images is a difficult task because of speckle noise and various interferences. PolSAR (Polarimetric SAR) measures road's reflectivity in four polarizations and provides more information of road, which potentially indicates higher extraction performance than that in single-polarization SAR cases. However, the implementation of the traditional MRF (Markov Random Field) based road extraction method needs excessive computation operations, which is… 
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