Subspace detection based on the combination of nonlinear feature extraction and feature selection

@article{Hossain2013SubspaceDB,
  title={Subspace detection based on the combination of nonlinear feature extraction and feature selection},
  author={Md. Ali Hossain and Xiuping Jia and Mark Pickering},
  journal={2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)},
  year={2013},
  pages={1-4}
}
In this study, a subspace detection technique is developed using a hybrid approach which combines both feature extraction and feature selection for the task of hyperspectral image classification. The proposed approach applies Kernel Principal Component Analysis (KPCA) at the first step, then feature selection from the KPCA images is accomplished by… CONTINUE READING