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Semisupervised sparse subspace clustering method with a joint sparsity constraint for hyperspectral remote sensing images

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Computers in Earth Sciences, Atmospheric Science

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Citation

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

Chicago
Huang, Shaoguang, Hongyan Zhang, and Aleksandra Pizurica. 2019. “Semisupervised Sparse Subspace Clustering Method with a Joint Sparsity Constraint for Hyperspectral Remote Sensing Images.” Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing: 1–11.
APA
Huang, Shaoguang, Zhang, H., & Pizurica, A. (2019). Semisupervised sparse subspace clustering method with a joint sparsity constraint for hyperspectral remote sensing images. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 1–11.
Vancouver
1.
Huang S, Zhang H, Pizurica A. Semisupervised sparse subspace clustering method with a joint sparsity constraint for hyperspectral remote sensing images. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. Institute of Electrical and Electronics Engineers (IEEE); 2019;1–11.
MLA
Huang, Shaoguang, Hongyan Zhang, and Aleksandra Pizurica. “Semisupervised Sparse Subspace Clustering Method with a Joint Sparsity Constraint for Hyperspectral Remote Sensing Images.” IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2019): 1–11. Print.
@article{8608749,
  author       = {Huang, Shaoguang and Zhang, Hongyan and Pizurica, Aleksandra},
  issn         = {1939-1404},
  journal      = {IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING},
  language     = {eng},
  pages        = {1--11},
  publisher    = {Institute of Electrical and Electronics Engineers (IEEE)},
  title        = {Semisupervised sparse subspace clustering method with a joint sparsity constraint for hyperspectral remote sensing images},
  url          = {http://dx.doi.org/10.1109/jstars.2019.2895508},
  year         = {2019},
}

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