Hyperspectral Estimation of Wheat Leaf Water Content Using Fractional Differentials and Successive Projection Algorithm-Back Propagation Neural Network

Hasan Umut; Sawut Mamat; Chunyue Ma

doi:10.3788/LOP56.153002

Laser & Optoelectronics Progress, Volume. 56, Issue 15, 153002(2019)

Hyperspectral Estimation of Wheat Leaf Water Content Using Fractional Differentials and Successive Projection Algorithm-Back Propagation Neural Network

Hasan Umut^1,2, Sawut Mamat^1,2,3、*, and Chunyue Ma^1,2

Author Affiliations

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

² Key Laboratory of Oasis Ecology of Ministry of Education, Urumqi, Xinjiang 830046, China

³ Key Laboratory for Wisdom City and Environmental Modeling, Xinjiang University, Urumqi, Xinjiang 830046, China

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Hasan Umut, Sawut Mamat, Chunyue Ma. Hyperspectral Estimation of Wheat Leaf Water Content Using Fractional Differentials and Successive Projection Algorithm-Back Propagation Neural Network[J]. Laser & Optoelectronics Progress, 2019, 56(15): 153002

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Paper Information

Category: Spectroscopy

Received: Feb. 22, 2019

Accepted: Mar. 11, 2019

Published Online: Aug. 5, 2019

The Author Email: Sawut Mamat (korxat@xju.edu.cn)

DOI:10.3788/LOP56.153002

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology