Fusion of PolSAR and PolInSAR data for land cover classification

@article{Shimoni2009FusionOP,
  title={Fusion of PolSAR and PolInSAR data for land cover classification},
  author={Michal Shimoni and Dirk Borghys and Roel Heremans and Christiaan Perneel and Marc Acheroy},
  journal={Int. J. Applied Earth Observation and Geoinformation},
  year={2009},
  volume={11},
  pages={169-180}
}
The main research goal of this study is to investigate the complementarity and fusion of different frequencies (Land P-band), polarimetric SAR (PolSAR) and polarimetric interferometric (PolInSAR) data for land cover classification. A large feature set was derived from each of these four modalities and a twolevel fusion method was developed: Logistic regression (LR) as ‘feature-level fusion’ and the neuralnetwork (NN) method for higher level fusion. For comparison, a support vector machine (SVM… CONTINUE READING
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