Polarimetric SAR Image Segmentation Using Statistical Region Merging

@article{Lang2014PolarimetricSI,
  title={Polarimetric SAR Image Segmentation Using Statistical Region Merging},
  author={Fengkai Lang and Jie Yang and Deren Li and Lingli Zhao and Lei Shi},
  journal={IEEE Geoscience and Remote Sensing Letters},
  year={2014},
  volume={11},
  pages={509-513}
}
The statistical region merging (SRM) algorithm exhibits efficient performance in solving significant noise corruption and does not depend on the data distribution. These advantages make SRM suitable for the segmentation of synthetic aperture radar (SAR) images, which are characterized by speckle noise and different distributions of various data types and spatial resolutions. However, the original SRM algorithm is designed for RGB and gray images characterized by additive noise and having a… CONTINUE READING

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