SparseGF is a height-aware sparse segmentation framework with context compression that improves robustness of ground filtering in ALS point clouds from urban to natural scenes.
A hybrid conditional random field for estimating the underlying ground surface from airborne
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SparseGF: A Height-Aware Sparse Segmentation Framework with Context Compression for Robust Ground Filtering Across Urban to Natural Scenes
SparseGF is a height-aware sparse segmentation framework with context compression that improves robustness of ground filtering in ALS point clouds from urban to natural scenes.