Study of Typical Arid Crops Classification Based on Machine Learning

HUANG Shuang-yan; YANG Liao; CHEN Xi; YAO Yuan

doi:10.3964/j.issn.1000-0593(2018)10-3169-08

Journals >Spectroscopy and Spectral Analysis >Volume 38 >Issue 10 >Page 3169 > Article

Spectroscopy and Spectral Analysis
Vol. 38, Issue 10, 3169 (2018)

Study of Typical Arid Crops Classification Based on Machine Learning

HUANG Shuang-yan^1、2、*, YANG Liao¹, CHEN Xi¹, and YAO Yuan^1、2

Author Affiliations

¹[in Chinese]

²[in Chinese]

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DOI: 10.3964/j.issn.1000-0593(2018)10-3169-08 Cite this Article

HUANG Shuang-yan, YANG Liao, CHEN Xi, YAO Yuan. Study of Typical Arid Crops Classification Based on Machine Learning[J]. Spectroscopy and Spectral Analysis, 2018, 38(10): 3169 Copy Citation Text

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References

[6] Mariana Belgiu, Lucian Drgut. ISPRS Journal of Photogrammetry & Remote Sensing, 2016, 114: 24.

[7] Rodriguez-Galiano V F, Chica-Olmo M, Abarca-Hernandez F, et al. Remote Sensing of Environment, 2012, 121(138): 93.

[10] Ferran Gascon, Catherine Bouzinac, Olivier Thépaut, et al. Remote Sensing, 2017, 9(6): 584.

[12] Pea-Barragán José M, Ngugi Moffatt K, Plant Richard E, et al. Remote Sensing of Environment, 2011, 115(6): 1301.

[14] Ghimire B, Rogan J, Miller J. Remote Sensing Letters, 2010, 1(1): 45.

HUANG Shuang-yan, YANG Liao, CHEN Xi, YAO Yuan. Study of Typical Arid Crops Classification Based on Machine Learning[J]. Spectroscopy and Spectral Analysis, 2018, 38(10): 3169

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