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

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

Study of Typical Arid Crops Classification Based on Machine Learning

HUANG Shuang-yan1...2,*, YANG Liao1, CHEN Xi1, and YAO Yuan12 |Show fewer author(s)

Author Affiliations

¹[in Chinese]

²[in Chinese]

show less

References(5)

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

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

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

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

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

Tools

Get Citation

Copy Citation Text

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

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Received: Oct. 17, 2017

Accepted: --

Published Online: Nov. 25, 2018

The Author Email: Shuang-yan HUANG (huangshuangyan15@mails.ucas.ac.cn)

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

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

微信扫一扫：分享