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Laser & Optoelectronics Progress, Volume. 57, Issue 14, 142801(2020)

An Accurate Recognition Method of Pitaya Plants Based on Visible Light Band UAV Remote Sensing

Meng Zhu1,2, Zhongfa Zhou1,2、*, Yi Jiang1,2, and Denghong Huang1,2
Author Affiliations
  • 1School of Karst Science/School of Geography and Environment Science, Guizhou Normal University, Guiyang, Guizhou 550001, China
  • 2State Engineering Technology Institute for Karst Desertification Control, Guiyang, Guizhou 550001, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (10)
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    References (36)
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    Figures & Tables(10)
    Images of Sunshine orchard, Xinzhongsheng and Langdang, as well as the corresponding reflectances of plants and weeds. (a) Images; (b) plant reflectance; (c) weed reflectance

    Fig. 1. Images of Sunshine orchard, Xinzhongsheng and Langdang, as well as the corresponding reflectances of plants and weeds. (a) Images; (b) plant reflectance; (c) weed reflectance

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    Pitaya fruit plant pixel, weed pixel and principles of three primary colors addition. (a) Pitaya fruit plant pixel; (b) three primary colors additive color scheme; (c) weed pixel

    Fig. 2. Pitaya fruit plant pixel, weed pixel and principles of three primary colors addition. (a) Pitaya fruit plant pixel; (b) three primary colors additive color scheme; (c) weed pixel

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    Comparison of reflectance between pitaya fruit plants and weeds. (a) R-band; (b) G-band; (c) B-band

    Fig. 3. Comparison of reflectance between pitaya fruit plants and weeds. (a) R-band; (b) G-band; (c) B-band

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    Vegetation index calculation results. (a) CCVI; (b) VDVI; (c) EXG; (d) NGRDI

    Fig. 4. Vegetation index calculation results. (a) CCVI; (b) VDVI; (c) EXG; (d) NGRDI

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    CCVI extraction results in three sample regions. (a) Sunshine orchard; (b) Xinzhongsheng; (c) Langdang

    Fig. 5. CCVI extraction results in three sample regions. (a) Sunshine orchard; (b) Xinzhongsheng; (c) Langdang

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    CCVI verification results. (a) Test original image; (b) CCVI calculation result; (c) CCVI extraction result

    Fig. 6. CCVI verification results. (a) Test original image; (b) CCVI calculation result; (c) CCVI extraction result

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    Comparison of CCVI extraction accuracy indicators in verification area. (a) Leakage rate; (b) mistake rate; (c) connected rate; (d) overall accuracy; (e) Kappa coefficient

    Fig. 7. Comparison of CCVI extraction accuracy indicators in verification area. (a) Leakage rate; (b) mistake rate; (c) connected rate; (d) overall accuracy; (e) Kappa coefficient

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    • Table 1. DN values of pitaya fruit plants and weeds in the different areas

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      Table 1. DN values of pitaya fruit plants and weeds in the different areas

      Sample areaPlantDN valueWeedDN value
      RedGreenBlueRedGreenBlue
      Sunshine orchardp1157.54165.81116.28g155.67124.4565.73
      p2155.61168.52119.46g241.51116.5561.75
      p3204.43202.81124.57g371.43147.7873.80
      p4175.76182.75106.44g443.78119.0356.67
      P5184.95178.79127.021g543.61102.5449.99
      Xinzhongshengp1173.62178.55117.45g161.8389.0244.31
      p2180.17176.56125.66g251.2274.0746.86
      p3199.5695.27137.42g3100.46128.0076.36
      p4181.24188.90121.69g482.84111.3770.04
      P5183.61187.47123.28g544.6576.0744.87
      Langdangp1167.19181.03125.82g170.80126.0992.72
      p2186.08197.01132.06g245.41105.8881.68
      p3216.19219.06153.55g377.84122.4570.45
      p4142.05169.60135.95g441.50100.9065.73
      p5215.53212.67169.03g546.66104.2768.53

    • Table 2. Statistics feature of CCVI in three plots

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      Table 2. Statistics feature of CCVI in three plots

      Sample areaPitaya plant characteristic valueWeed characteristic value
      MinimumaverageMaximumStandarddeviationMinimumaverageMaximumStandarddeviation
      Sunshine orchard783000.961290893.481798786.00245070.451233.02261206.11787637.31195821.54
      Xinzhongsheng772980.501274373.341775766.00289472.283072.02209502.10778622.00196916.48
      Langdang754811.831276831.22179.8850.63301381.167019.33201604.79758883.56153324.26

    • Table 3. Extracting feature values and precision validation

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      Table 3. Extracting feature values and precision validation

      SampleareaThresholdextractionActualplants (strain)Extractedplants (strain)Errorrate /%Connectedrate /%Overallaccuracy /%Kappacoefficient
      Sunshine orchard890264.571781927.8712.5192.130.9183
      Xinzhongsheng889421.011891940.5310.0097.350.9649
      Langdang902104.081761665.685.4794.320.9418
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    Meng Zhu, Zhongfa Zhou, Yi Jiang, Denghong Huang. An Accurate Recognition Method of Pitaya Plants Based on Visible Light Band UAV Remote Sensing[J]. Laser & Optoelectronics Progress, 2020, 57(14): 142801

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Oct. 22, 2019

    Accepted: Nov. 29, 2019

    Published Online: Jul. 28, 2020

    The Author Email: Zhongfa Zhou (fa6897@163.com)

    DOI:10.3788/LOP57.142801

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology