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Release Notes: v1.7.0

Release Date: September 2025
Type: Feature Release

Overview​

Version 1.7.0 introduces advanced preprocessing capabilities specifically designed for artifact mitigation in IGN LiDAR HD data. This release focuses on improving data quality through intelligent preprocessing workflows.

πŸš€ New Features​

Artifact Mitigation System​

  • Smart Noise Filtering: Advanced algorithms for detecting and removing LiDAR artifacts
  • Edge Enhancement: Improved building edge detection and regularization
  • Point Cloud Optimization: Intelligent point density management

Preprocessing Pipeline​

  • Automated Workflow: Streamlined preprocessing with minimal user intervention
  • Quality Metrics: Built-in quality assessment for processed data
  • Batch Processing: Efficient handling of multiple tiles

πŸ”§ Improvements​

Performance Enhancements​

  • 40% faster preprocessing on average datasets
  • Reduced memory usage during artifact detection
  • Optimized I/O operations for large point clouds

Data Quality​

  • Better preservation of architectural details
  • Improved classification accuracy for complex structures
  • Enhanced handling of vegetation artifacts near buildings

πŸ› Bug Fixes​

  • Fixed edge cases in noise detection algorithms
  • Resolved memory leaks in batch preprocessing
  • Corrected coordinate transformation issues in specific regions

πŸ“‹ Technical Details​

System Requirements​

  • Python 3.8+
  • NumPy 1.21+
  • Updated PDAL dependencies

API Changes​

  • New preprocess_artifacts() function in core module
  • Enhanced NoiseFilter class with additional parameters
  • Improved error handling in preprocessing pipeline

⚠️ Breaking Changes​

None in this release.

πŸ“¦ Installation​

pip install ign-lidar-hd==1.7.0

πŸ”„ Migration Guide​

Upgrade from v1.6.x is straightforward with no breaking changes. Existing workflows will continue to work with improved performance.


Next Release: v1.7.1 - Automatic Parameter Analysis
Previous Release: v1.6.2 - GPU Integration Improvements