A Scanline-Based Sliding Window Filtering Method for UAV-Borne LiDAR Bathymetry Point Clouds

Highlights

What are the main findings?

• A novel scanline-based sliding window filtering method is proposed for the denoising of UAV-borne LiDAR bathymetric point clouds, which can effectively separate noise while completely retaining detailed features of complex terrain in shallow-water areas.
• The method achieves ≥96% noise recall and F1-score ≥ 0.9 across different terrains, with excellent filtering performance and strong adaptability, significantly improving the quality of point cloud data.

Pour en savoir plus : A Scanline-Based Sliding Window Filtering Method for UAV-Borne LiDAR Bathymetry Point Clouds