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Laser-induced fluorescence characteristics of vegetation by a new excitation wavelength
Authors:Jian Yang  Wei Gong  Shuo Shi  Lin Du  Jia Sun  Sha-lei Song
Institution:1. State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, Chinawind_yang@whu.edu.cn;3. State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China;4. Collaborative Innovation Center of Geospatial Technology, Wuhan, China;5. School of Resource and Environmental Sciences, Wuhan University, Wuhan, China;6. School of Physics and Technology, Wuhan University, Wuhan, China;7. Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, China
Abstract:To recognize different vegetation species exactly, especially the species of the same family, laser-induced fluorescence characteristics of vegetation, which is excited by 556 nm laser rather than the traditional 355 nm excitation light source, is proposed to be utilized in this article. The experimental results demonstrated that fluorescence characteristics of vegetation induced by a 556 nm laser are more obvious than that induced by a 355 nm laser. These fluorescence spectra, combined with multivariate analysis, are utilized to identify different vegetation species. The 100% of recognition rate was then acquired. Therefore, this study shows that different plant types could be accurately identified when a 556 nm laser serves as excitation light source.
Keywords:Laser-induced fluorescence  multivariate analysis  principal component analysis  vegetation
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