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

Journals >Laser & Optoelectronics Progress >Volume 56 >Issue 15 >Page 153002 > Article

Laser & Optoelectronics Progress
Vol. 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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DOI: 10.3788/LOP56.153002 Cite this Article Set citation alerts

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 Copy Citation Text

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