Figures (2)  Tables (1)

    • Figure 1. 

      Trend of forest PCR methods based on different platform architectures.

    • Figure 2. 

      Future outlook of forest PCR.

    • MethodAdvantagesDisadvantages
      Artificial markers1. High accuracy1. Placement of markers is limited, requiring uniform distribution
      2. Strong reliability2. Setting up markers is time-consuming and labor-intensive
      3. Strong controllability3. User intervention might be needed during marker identification
      Feature matching1. Automatically detects feature points1. Sensitive to point cloud quality and environmental changes
      2. Broad applicability2. Typically requires preprocessing of point cloud data
      3. Handle noise and local distortion3. Parameters of algorithms need experimentation and adjustment
      4. Integrate with other technologies4. May encounter mismatches and omissions
      Deep learning1. Automatically learns features1. Requires a large amount of annotated data for model training
      2. handle complex, large-scale data2. High computational complexity, may face overfitting issues

      Table 1. 

      Advantages and disadvantages of different PCR methods.