A Hyperspectral Vegetation Feature Band Selection Based on Quantum Genetic Spectral Angle Mapper Algorithm

DENG Zhi-gang; ZHAO Hong-mei; ZHA Wen-xian; TANG Lin-ling; TIAN Ye

doi:10.3964/j.issn.1000-0593(2024)11-3258-08

Spectroscopy and Spectral Analysis, Volume. 44, Issue 11, 3258(2024)

A Hyperspectral Vegetation Feature Band Selection Based on Quantum Genetic Spectral Angle Mapper Algorithm

DENG Zhi-gang^1,2, ZHAO Hong-mei^2、*, ZHA Wen-xian², TANG Lin-ling², and TIAN Ye²

Author Affiliations

¹School of Information and Software Engineering, East China Jiaotong University, Nanchang　330013, China

²Key Laboratory of Poyang Lake Wetland and Watershed Research (JiangxiNormal University), Ministry of Education, Nanchang　330022, China

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DENG Zhi-gang, ZHAO Hong-mei, ZHA Wen-xian, TANG Lin-ling, TIAN Ye. A Hyperspectral Vegetation Feature Band Selection Based on Quantum Genetic Spectral Angle Mapper Algorithm[J]. Spectroscopy and Spectral Analysis, 2024, 44(11): 3258

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Paper Information

Received: Feb. 24, 2024

Accepted: Jan. 16, 2025

Published Online: Jan. 16, 2025

The Author Email: Hong-mei ZHAO (zhm8012@jxnu.edu.cn)

DOI:10.3964/j.issn.1000-0593(2024)11-3258-08

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