Coastline detection by a Markovian segmentation on SAR images

@article{Descombes1996CoastlineDB,
  title={Coastline detection by a Markovian segmentation on SAR images},
  author={Xavier Descombes and Miguel Moctezuma and Henri Ma{\^i}tre and Jean-Paul Rudant},
  journal={Signal Processing},
  year={1996},
  volume={55},
  pages={123-132}
}
This paper presents a new method for extracting coastline in SAR images. It proposes a hierarchical approach using two Markov Random Fields (MRFs). At coarse resolution an MRF on a holes topology reduces the drawbacks affecting classical approaches (i.e., over-segmentations). The initial segmentation is then projected onto the full resolution image and a second classification is achieved using an Ising model. Applications on ERS-1 SAR images demonstrate the performance of the method. 
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