Hyperspectral image spectral-spatial classification via weighted Laplacian smoothing constraint-based sparse representation

Eryang Chen, Ruichun Chang, Ke Guo, Fang Miao, Kaibo Shi, Ansheng Ye, Jianghong Yuan

Open source

DOI: 10.1371/journal.pone.0254362
Published: 2021-07-13
Container: PLOS ONE
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0254362,
  title = {Hyperspectral image spectral-spatial classification via weighted Laplacian smoothing constraint-based sparse representation},
  author = {Eryang Chen and Ruichun Chang and Ke Guo and Fang Miao and Kaibo Shi and Ansheng Ye and Jianghong Yuan},
  year = {2021},
  journal = {PLOS ONE},
  doi = {10.1371/journal.pone.0254362},
  url = {https://doi.org/10.1371/journal.pone.0254362}
}

RIS

TY  - JOUR
TI  - Hyperspectral image spectral-spatial classification via weighted Laplacian smoothing constraint-based sparse representation
AU  - Eryang Chen
AU  - Ruichun Chang
AU  - Ke Guo
AU  - Fang Miao
AU  - Kaibo Shi
AU  - Ansheng Ye
AU  - Jianghong Yuan
PY  - 2021
JO  - PLOS ONE
DO  - 10.1371/journal.pone.0254362
UR  - https://doi.org/10.1371/journal.pone.0254362
ER  -

APA

Chen, E., Chang, R., Guo, K., Miao, F., Shi, K., Ye, A., & Yuan, J. (2021). Hyperspectral image spectral-spatial classification via weighted Laplacian smoothing constraint-based sparse representation. PLOS ONE. https://doi.org/10.1371/journal.pone.0254362

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crossref · retrieved 2026-09-26T07:18:32.343Z