A Novel MKL Model of Integrating LiDAR Data and MSI for Urban Area Classification

@article{Gu2015ANM,
  title={A Novel MKL Model of Integrating LiDAR Data and MSI for Urban Area Classification},
  author={Yanfeng Gu and Qingwang Wang and Xiuping Jia and Jon Atli Benediktsson},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2015},
  volume={53},
  pages={5312-5326}
}
A novel multiple-kernel learning (MKL) model is proposed for urban classification to integrate heterogeneous features (HF-MKL) from two data sources, i.e., spectral images and LiDAR data. The features include spectral, spatial, and elevation attributes of urban objects from the two data sources. With these heterogeneous features (HFs), the new MKL model is designed to carry out feature fusion that is embedded in classification. First, Gaussian kernels with different bandwidths are used to… CONTINUE READING
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