Context-Based Hierarchical Unequal Merging for SAR Image Segmentation

@article{Yu2013ContextBasedHU,
  title={Context-Based Hierarchical Unequal Merging for SAR Image Segmentation},
  author={Hang Yu and Xiangrong Zhang and Shuang Wang and Biao Hou},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2013},
  volume={51},
  pages={995-1009}
}
This paper presents an image segmentation method named Context-based Hierarchical Unequal Merging for Synthetic aperture radar (SAR) Image Segmentation (CHUMSIS), which uses superpixels as the operation units instead of pixels. Based on the Gestalt laws, three rules that realize a new and natural way to manage different kinds of features extracted from SAR… CONTINUE READING