Estimation of Soil Moisture Content Based on Competitive Adaptive Reweighted Sampling Algorithm Coupled with Machine Learning

Xiangyu Ge; Jianli Ding; Jingzhe Wang; Fei Wang; Lianghong Cai; Huilan Sun

doi:10.3788/AOS201838.1030001

Acta Optica Sinica, Volume. 38, Issue 10, 1030001(2018)

Estimation of Soil Moisture Content Based on Competitive Adaptive Reweighted Sampling Algorithm Coupled with Machine Learning

Xiangyu Ge^1,2,3、*, Jianli Ding^1,2,3、*, Jingzhe Wang^1,2,3, Fei Wang^1,2,3, Lianghong Cai^1,2,3, and Huilan Sun⁴

Author Affiliations

¹ College of Resource and Environment Sciences, Xinjiang University, Urumqi, Xinjiang 830046, China

² Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, Xinjiang 830046, China

³ Key Laboratory of Smart City and Environment Modelling of Higher Education Institute, Xinjiang University, Urumqi, Xinjiang 830046, China

⁴ School of Geographical Science and Tourism, Xinjiang Normal University, Urumqi, Xinjiang 830054, China

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Xiangyu Ge, Jianli Ding, Jingzhe Wang, Fei Wang, Lianghong Cai, Huilan Sun. Estimation of Soil Moisture Content Based on Competitive Adaptive Reweighted Sampling Algorithm Coupled with Machine Learning[J]. Acta Optica Sinica, 2018, 38(10): 1030001

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Paper Information

Category: Spectroscopy

Received: Apr. 28, 2018

Accepted: May. 12, 2018

Published Online: May. 9, 2019

The Author Email:

DOI:10.3788/AOS201838.1030001

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology