Impacts of Feature Normalization on Optical and SAR Data Fusion for Land Use/Land Cover Classification

  title={Impacts of Feature Normalization on Optical and SAR Data Fusion for Land Use/Land Cover Classification},
  author={Hongsheng Zhang and Hui Lin and Yu Li},
  journal={IEEE Geoscience and Remote Sensing Letters},
Land use/land cover (LULC) classification using optical and synthetic aperture radar (SAR) remote sensing images is becoming increasingly important to produce more accurate LULC products. As an important step, feature normalization techniques have been studied by the areas of pattern recognition. Nevertheless, because of the totally different imaging mechanisms of optical and SAR sensors, most of the existing normalization approaches are not suitable for optical and SAR data fusion. Moreover… CONTINUE READING
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