• Infrared and Laser Engineering
  • Vol. 52, Issue 10, 20230108 (2023)
Wenxin Tian1,2, Yuwei Chen3,4, Lingli Tang1, Ziyang Li1..., Shi Qiu1, Haohao Wu1, Huijing Zhang1,2, Linsheng Chen1, Changhui Jiang3, Peilun Hu3,5, Jianxin Jia3, Haibin Sun3, Yicheng Wang4 and Yihua Hu4|Show fewer author(s)
Author Affiliations
  • 1Key Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
  • 2School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
  • 3Finnish Geospatial Research Institute, Masala FI-02430, Finland
  • 4Advanced Laser Technology Laboratory of Anhui Province, Hefei 230037, China
  • 5University of Helsinki, Helsinki 00014, Finland
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    DOI: 10.3788/IRLA20230108 Cite this Article
    Wenxin Tian, Yuwei Chen, Lingli Tang, Ziyang Li, Shi Qiu, Haohao Wu, Huijing Zhang, Linsheng Chen, Changhui Jiang, Peilun Hu, Jianxin Jia, Haibin Sun, Yicheng Wang, Yihua Hu. Bidirectional reflectance distribution function model of rough surface based on backscatter intensity of hyperspectral LiDAR[J]. Infrared and Laser Engineering, 2023, 52(10): 20230108 Copy Citation Text show less
    (a) The larger the variance of the normal direction of the micro surface, the rougher the macro surface; (b) The smaller the variance of the normal direction of the micro surface, the smoother the macro surface
    Fig. 1. (a) The larger the variance of the normal direction of the micro surface, the rougher the macro surface; (b) The smaller the variance of the normal direction of the micro surface, the smoother the macro surface
    Schematic diagram of Oren-Nayar model
    Fig. 2. Schematic diagram of Oren-Nayar model
    Hyperspectral LiDAR system. (a) Composition diagram of hyperspectral LiDAR system; (b) Principle prototype of hyperspectral LiDAR
    Fig. 3. Hyperspectral LiDAR system. (a) Composition diagram of hyperspectral LiDAR system; (b) Principle prototype of hyperspectral LiDAR
    Experimental sample. (a) White paper; (b) Floor tiles; (c) Concrete; (d) Gypsum; (e) Orthoclase; (f) Silica; (g) Granite; (h) Griotte
    Fig. 4. Experimental sample. (a) White paper; (b) Floor tiles; (c) Concrete; (d) Gypsum; (e) Orthoclase; (f) Silica; (g) Granite; (h) Griotte
    Schematic diagram of distance effect experiment
    Fig. 5. Schematic diagram of distance effect experiment
    Incident angle effect of backscatter intensity of hyperspectral LiDAR at different wavelengths. (a) White paper; (b) Floor tiles; (c) Concrete; (d) Gypsum; (e) Orthoclase; (f) Silica; (g) Granite; (h) Griotte
    Fig. 6. Incident angle effect of backscatter intensity of hyperspectral LiDAR at different wavelengths. (a) White paper; (b) Floor tiles; (c) Concrete; (d) Gypsum; (e) Orthoclase; (f) Silica; (g) Granite; (h) Griotte
    Scatter plot and Lambertian model fitting curve of backscatter intensity (650 nm). (a) Floor tiles; (b) Concrete
    Fig. 7. Scatter plot and Lambertian model fitting curve of backscatter intensity (650 nm). (a) Floor tiles; (b) Concrete
    Distance effect of backscatter intensity of 100% diffuse reflective whiteboard at different wavelengths. (a) The curve of the backscatter intensity varying with R; (b) Curve of backscatter intensity varying with \begin{document}$ 1/{R}^{2} $\end{document}
    Fig. 8. Distance effect of backscatter intensity of 100% diffuse reflective whiteboard at different wavelengths. (a) The curve of the backscatter intensity varying with R; (b) Curve of backscatter intensity varying with Unknown environment 'document'
    Distance effect of backscatter intensity of 70% diffuse reflective whiteboard at different wavelengths. (a) The curve of the backscatter intensity varying with R; (b) Curve of backscatter intensity varying with \begin{document}$ 1/{R}^{2} $\end{document}
    Fig. 9. Distance effect of backscatter intensity of 70% diffuse reflective whiteboard at different wavelengths. (a) The curve of the backscatter intensity varying with R; (b) Curve of backscatter intensity varying with Unknown environment 'document'
    Calculation results of \begin{document}$ {\sigma }\left({\lambda }\right) $\end{document} of different samples of Oren-Nayar model
    Fig. 10. Calculation results of Unknown environment 'document' of different samples of Oren-Nayar model
    Backscatter intensity of different wavelengths after correction of Oren-Nayar model. (a) White paper; (b) Floor tiles; (c) Concrete; (d) Gypsum; (e) Orthoclase; (f) Silica; (g) Granite; (h) Griotte
    Fig. 11. Backscatter intensity of different wavelengths after correction of Oren-Nayar model. (a) White paper; (b) Floor tiles; (c) Concrete; (d) Gypsum; (e) Orthoclase; (f) Silica; (g) Granite; (h) Griotte
    Reflectance comparison of different incident angles before and after correction of concrete. (a) Before correction; (b) After correction of Lambert model; (c) After correction of Oren-Nayar model
    Fig. 12. Reflectance comparison of different incident angles before and after correction of concrete. (a) Before correction; (b) After correction of Lambert model; (c) After correction of Oren-Nayar model
    Standard deviation of reflectance at different incident angles. (a) White paper; (b) Floor tiles; (c) Concrete; (d) Gypsum; (e) Orthoclase; (f) Silica; (g) Granite; (h) Griotte
    Fig. 13. Standard deviation of reflectance at different incident angles. (a) White paper; (b) Floor tiles; (c) Concrete; (d) Gypsum; (e) Orthoclase; (f) Silica; (g) Granite; (h) Griotte
    No.Target${\mathrm{\sigma } }_{mean}$/(°)
    1White paper0.008
    2Floor tiles13.93
    3Concrete15.67
    4Gypsum11.31
    5Orthoclase7.56
    6Silica5.30
    7Granite12.81
    8Griotte5.71
    Table 1. σmean calculation results of different samples of Oren-Nayar model
    No.TargetBefore correctionCorrection of Lambertian modelCorrection of Oren-Nayar model
    1White paper0.2600.0600.060
    2Floor tiles0.0410.0610.016
    3Concrete0.0550.1430.040
    4Gypsum0.0960.0560.024
    5Orthoclase0.1110.0580.029
    6Silica0.1260.0370.024
    7Granite0.0640.0700.016
    8Griotte0.1440.0600.039
    Table 2. Average value of standard deviation of reflectance at different incident angles
    Wenxin Tian, Yuwei Chen, Lingli Tang, Ziyang Li, Shi Qiu, Haohao Wu, Huijing Zhang, Linsheng Chen, Changhui Jiang, Peilun Hu, Jianxin Jia, Haibin Sun, Yicheng Wang, Yihua Hu. Bidirectional reflectance distribution function model of rough surface based on backscatter intensity of hyperspectral LiDAR[J]. Infrared and Laser Engineering, 2023, 52(10): 20230108
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