Deep Kernel Extreme-Learning Machine for the Spectral–Spatial Classification of Hyperspectral Imagery, Remote Sensing, 2018.

Jiaojiao Li, Bobo Xi, Qian Du, Rui song, Yunsong Li and Guangbo Ren

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Code for paper: Deep Kernel Extreme-Learning Machine for the Spectral–Spatial Classification of Hyperspectral Imagery.

An improved version of codes and work have been open sourced, please find them at [PDF] [code]

References

If you find this code helpful, please kindly cite:

[1] B. Xi, J. Li, Y. Li, R. Song, W. Sun and Q. Du, “Multiscale Context-aware Ensemble Deep KELM for Efficient Hyperspectral Image Classification,” IEEE Transactions on Geoscience and Remote Sensing, 2020. DOI: 10.1109/TGRS.2020.3022029.
[2] Li, J.; Xi, B.; Du, Q.; Song, R.; Li, Y.; Ren, G. Deep Kernel Extreme-Learning Machine for the Spectral–Spatial Classification of Hyperspectral Imagery. Remote Sens. 2018, 10, 2036. DOI: 10.3390/rs10122036.

Citation Details

BibTeX entry:

@ARTICLE{Xi_TGRS2020_EDKELM,
  author={B. {Xi} and J. {Li} and Y. {Li} and R. {Song} and W. {Sun} and Q. {Du}},
  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
  title={Multiscale Context-Aware Ensemble Deep KELM for Efficient Hyperspectral Image Classification}, 
  year={2020},
  volume={},
  number={},
  pages={1-17},}

@article{Li_RS2018_DKELM,   
title={Deep Kernel Extreme-Learning Machine for the Spectral–Spatial Classification of Hyperspectral Imagery},   
volume={10}, ISSN={2072-4292},   
url={http://dx.doi.org/10.3390/rs10122036},   
DOI={10.3390/rs10122036},   
number={12}, journal={Remote Sensing}, publisher={MDPI AG},   
author={Li, Jiaojiao and Xi, Bobo and Du, Qian and Song, Rui and Li, Yunsong and Ren, Guangbo},   
year={2018},month={Dec},pages={2036}}

Licensing

Copyright (C) 2020 Bobo Xi and Jiaojiao Li

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, version 3 of the License.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program.