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Joint classification of hyperspectral and LiDAR data using hierarchical random walk and deep CNN architecture

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Electrical and Electronic Engineering, General Earth and Planetary Sciences

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MLA
Zhao, Xudong, et al. “Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture.” IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, doi:10.1109/tgrs.2020.2982064.
APA
Zhao, X., Tao, R., Li, W., Li, H.-C., Du, Q., Liao, W., & Philips, W. (2020). Joint classification of hyperspectral and LiDAR data using hierarchical random walk and deep CNN architecture. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. https://doi.org/10.1109/tgrs.2020.2982064
Chicago author-date
Zhao, Xudong, Ran Tao, Wei Li, Heng-Chao Li, Qian Du, Wenzhi Liao, and Wilfried Philips. 2020. “Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture.” IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. https://doi.org/10.1109/tgrs.2020.2982064.
Chicago author-date (all authors)
Zhao, Xudong, Ran Tao, Wei Li, Heng-Chao Li, Qian Du, Wenzhi Liao, and Wilfried Philips. 2020. “Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture.” IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. doi:10.1109/tgrs.2020.2982064.
Vancouver
1.
Zhao X, Tao R, Li W, Li H-C, Du Q, Liao W, et al. Joint classification of hyperspectral and LiDAR data using hierarchical random walk and deep CNN architecture. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. 2020;
IEEE
[1]
X. Zhao et al., “Joint classification of hyperspectral and LiDAR data using hierarchical random walk and deep CNN architecture,” IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020.
@article{8658091,
  author       = {Zhao, Xudong and Tao, Ran and Li, Wei and Li, Heng-Chao and Du, Qian and Liao, Wenzhi and Philips, Wilfried},
  issn         = {0196-2892},
  journal      = {IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING},
  keywords     = {Electrical and Electronic Engineering,General Earth and Planetary Sciences},
  language     = {eng},
  pages        = {16},
  title        = {Joint classification of hyperspectral and LiDAR data using hierarchical random walk and deep CNN architecture},
  url          = {http://dx.doi.org/10.1109/tgrs.2020.2982064},
  year         = {2020},
}

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