CspStandSegmentation 0.2.0

New Features and Enhancements

Stem Point Filtering for DBH Estimation

• Added semantic segmentation support to the forest inventory function, allowing users to filter points by classification (e.g., stem-only points) for more accurate DBH estimation.

Custom TreeID Column Support

• Flexible tree identification: The forest_inventory() function now supports custom TreeID column names through the tree_id_col parameter
• Added non_tree_id parameter to specify which values represent non-tree elements (can be a vector)

Performance Improvements

• Significantly optimized circle fitting algorithm with vectorized distance calculations
• Implemented weighted point sampling based on local point density for better convergence
• Reduced iterations to 500 and added early stopping criteria (30 angular segments)
• Completely rewrote core forest_inventory() logic to use data.table instead of loops and foreach parallelization
• Improved readability with helper functions: .fit_circle(), .fit_circles(), .spline_predict()
• Eliminated parallelization overhead for single-core efficiency

Stability and Quality Enhancements

• Improved height normalization: Better handling of Z-coordinates when reference height (Zref) is available
• Enhanced quality control: Added validation checks for unrealistic circle diameters and center positions
• Robust data types: Fixed data.frame structure issues by converting merged results properly
• Better error handling: Added validation for stem segmentation parameters and semantic column existence

Bug Fixes

• Fixed spline prediction height (now uses 1.3 + 0.5*increment for better accuracy)
• Corrected data.frame structure in inventory output
• Fixed cosmetic issues and improved code formatting
• Resolved issues with NA value handling in RANSAC circle fitting