• Journal of Infrared and Millimeter Waves
  • Vol. 39, Issue 1, 86 (2020)
Shao-Jing SONG1, Yu-Wei CHEN2, Hai-Jiang HU1, Jin-Yan HU1, Yu-Mei GONG1, and Hui SHAO2、3
Author Affiliations
  • 1Department of Communication and Information Engineering, Shanghai Polytechnic University, Shanghai20209, China
  • 2Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, National Land Survey of Finland, 0431Masala, Finland
  • 3School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei20601,China
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    DOI: 10.11972/j.issn.1001-9014.2020.01.012 Cite this Article
    Shao-Jing SONG, Yu-Wei CHEN, Hai-Jiang HU, Jin-Yan HU, Yu-Mei GONG, Hui SHAO. The feasibility study of wavelength selection of multi-spectral LIDAR for autonomous driving[J]. Journal of Infrared and Millimeter Waves, 2020, 39(1): 86 Copy Citation Text show less
    常所穿衣服的光谱反射特性曲线[5],(a)平纹棉织物光谱反射特性曲线,(b)涤纶织物光谱反射特性曲线
    Fig. 1. 常所穿衣服的光谱反射特性曲线[5],(a)平纹棉织物光谱反射特性曲线,(b)涤纶织物光谱反射特性曲线
    上海典型植物光谱反射特性曲线[6]
    Fig. 2. 上海典型植物光谱反射特性曲线[6]
    上海地物光谱反射特性曲线
    Fig. 3. 上海地物光谱反射特性曲线
    4种地物原始光谱反射特性曲线[7]
    Fig. 4. 4种地物原始光谱反射特性曲线[7]
    通常路面光谱反射特性曲线[8]
    Fig. 5. 通常路面光谱反射特性曲线[8]
    汽车油漆的红外光谱图[9]
    Fig. 6. 汽车油漆的红外光谱图[9]

    Band (nm) with first 10

    highest factor loadings

    Percentage variability explained
    PCA主成分PCA1PCA2PCA3PCA4PCA1PCA2PCA3PCA4前4个主成分
    绿草780-850880-9501025-10951285-140569186295
    柏油路780-850880-9501025-10951285-140557278193
    Table 1. PCA方法波长选择
    Shao-Jing SONG, Yu-Wei CHEN, Hai-Jiang HU, Jin-Yan HU, Yu-Mei GONG, Hui SHAO. The feasibility study of wavelength selection of multi-spectral LIDAR for autonomous driving[J]. Journal of Infrared and Millimeter Waves, 2020, 39(1): 86
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