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Citation

Please use this url to cite or link to this publication:

MLA
Huang, Shaoguang, Hongyan Zhang, and Aleksandra Pizurica. “Landmark-based Large-scale Sparse Subspace Clustering Method for Hyperspectral Images.” 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS). 2019. Print.
APA
Huang, Shaoguang, Zhang, H., & Pizurica, A. (2019). Landmark-based large-scale sparse subspace clustering method for hyperspectral images. 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS). Presented at the 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS).
Chicago author-date
Huang, Shaoguang, Hongyan Zhang, and Aleksandra Pizurica. 2019. “Landmark-based Large-scale Sparse Subspace Clustering Method for Hyperspectral Images.” In 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS).
Chicago author-date (all authors)
Huang, Shaoguang, Hongyan Zhang, and Aleksandra Pizurica. 2019. “Landmark-based Large-scale Sparse Subspace Clustering Method for Hyperspectral Images.” In 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS).
Vancouver
1.
Huang S, Zhang H, Pizurica A. Landmark-based large-scale sparse subspace clustering method for hyperspectral images. 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS). 2019.
IEEE
[1]
S. Huang, H. Zhang, and A. Pizurica, “Landmark-based large-scale sparse subspace clustering method for hyperspectral images,” in 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), Yokohama, Japan, 2019.
@inproceedings{8623398,
  author       = {Huang, Shaoguang and Zhang, Hongyan and Pizurica, Aleksandra},
  booktitle    = {2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)},
  issn         = {2153-6996},
  language     = {eng},
  location     = {Yokohama, Japan},
  pages        = {4},
  title        = {Landmark-based large-scale sparse subspace clustering method for hyperspectral images},
  year         = {2019},
}