Remote Sensing Technology and Application, Volume. 39, Issue 5, 1213(2024)

Verification of Farmland Crop Row Direction Recognition Method based on Plot Morphological Characteristics

Fuheng QU, DINGTianyu, Xingming ZHENG, Jing MA, and Kaiwen WANG
Author Affiliations
  • College of Computer Science and Technology, Changchun University of Science and Technology, Changchun130022, China
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    Figures & Tables(14)
    Overview of the study area
    The flowchart of this study
    Distribution of field crop row direction
    Results of pretreatment
    Example of the shape of the land plots
    Results of minimum area rectangle fitting and long edge recognition for irregular land plots
    Accuracy of different threshold intervals and different thresholds
    Results for probabilistic Hough transform algorithms (top four) and LSD algorithms (bottom four) in different threshold intervals
    Results for probabilistic Hough transform algorithms (top four) and LSD algorithms (bottom four) with different thresholds
    Schematic diagram of the fracture phenomenon in the binary image of the land parcel
    Automatic extraction of land plots boundary results based on cloud platform
    • Table 1. Parameter settings for the probabilistic Hough transform

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      Table 1. Parameter settings for the probabilistic Hough transform

      RhoThetaThresholdMinLLMaxLG
      1π18020(160,250)100
    • Table 2. Accuracy of probabilistic hough transform in identifying at different thresholds

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      Table 2. Accuracy of probabilistic hough transform in identifying at different thresholds

      单MinLL正确率/%双MinLL正确率/%
      16575.2(120,210)85.40
      17575.00(130,220)85.00
      18577.40(140,230)85.00
      19577.80(150,240)85.60
      20577.00(160,250)85.60
      21577.00(170,260)84.40
    • Table 3. The number of agricultural plots and algorithm accuracy within the threshold interval of each aspect ratio

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      Table 3. The number of agricultural plots and algorithm accuracy within the threshold interval of each aspect ratio

      阈值区间符合长宽比阈值的地块数量Hough识别正确的地块数Hough正确率/%LSD识别正确的地块数LSD正确率/%
      1.5≤t<2.0492551.024183.67
      2.0≤t<2.5483266.674287.50
      2.5≤t<3.0443375.004193.18
      3.0≤t<3.5393282.053794.87
      3.5≤t<4.0292793.102896.55
      4.0≤t<4.5272696.3027100.00
      4.5≤t17417298.8517399.44
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    Fuheng QU, DINGTianyu, Xingming ZHENG, Jing MA, Kaiwen WANG. Verification of Farmland Crop Row Direction Recognition Method based on Plot Morphological Characteristics[J]. Remote Sensing Technology and Application, 2024, 39(5): 1213

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    Paper Information

    Category:

    Received: Mar. 31, 2022

    Accepted: --

    Published Online: Jan. 7, 2025

    The Author Email:

    DOI:10.11873/j.issn.1004-0323.2024.5.1213

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