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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)
- 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
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.