Unsupervised Classification of Spectropolarimetric Data by Region-Based Evidence Fusion

@article{Zhao2011UnsupervisedCO,
  title={Unsupervised Classification of Spectropolarimetric Data by Region-Based Evidence Fusion},
  author={Yongqiang Zhao and Guohua Zhang and Feiran Jie and Shibo Gao and Chao Chen and Quan Pan},
  journal={IEEE Geoscience and Remote Sensing Letters},
  year={2011},
  volume={8},
  pages={755-759}
}
Imaging spectropolarimetry is a new sensing method that can acquire the spectral, polarimetric, and spatial information of an interesting scene. They give the incomplete representations of a scene, respectively, and it is expected that combination of them will improve confidence in target identification and quality of the scene description. In this letter… CONTINUE READING