Volume XLI-B1
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 147-150, 2016
https://doi.org/10.5194/isprs-archives-XLI-B1-147-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 147-150, 2016
https://doi.org/10.5194/isprs-archives-XLI-B1-147-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  02 Jun 2016

02 Jun 2016

THE EFFECTIVE OF DIFFERENT EXCITATION WAVELENGTHS ON THE IDENTIFICATION OF PLANT SPECIES BASED ON FLUORESCENCE LIDAR

Jian Yang1, Wei Gong1,2, Shuo Shi1,2,3, Lin Du1,4, Jia Sun1, and Shalei Song5 Jian Yang et al.
  • 1Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China
  • 2Collaborative Innovation Center of Geospatial Technology, Wuhan, China
  • 3School of Resource and Environmental Sciences, Wuhan University, Wuhan, China
  • 4School of Physics and Technology, Wuhan University, Wuhan, China
  • 5Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, China

Keywords: Laser-induced fluorescence, Excitation wavelength, Multivariate analysis, Remote sensing, classification

Abstract. Laser-induced fluorescence (LIF) served as an active technology has been widely used in many field, and it is closely related to excitation wavelength (EW). The objective of this investigation is to discuss the performance of different EWs of LIF LiDAR in identifying plant species. In this study, the 355, 460 and 556 nm lasers were utilized to excite the leaf fluorescence and the fluorescence spectra were measured by using the LIF LiDAR system built in the laboratory. Subsequently, the principal component analysis (PCA) with the help of support vector machine (SVM) was utilized to analyse fluorescence spectra. For the three EWs, the overall identification rates of the six plant species were 80 %, 83.3 % and 90 %. Experimental results demonstrated that 556 nm excitation light source is superior to 355 and 460 nm for the classification of the plant species for the same genus in this study. Thus, an appropriate excitation wavelength should be considered when the LIF LiDAR was utilized in the field of remote sensing based on the LIF technology.