AI RESEARCH
Highly Detailed and Generalizable Broadleaf Tree Crown Instance Segmentation from UAV Imagery
arXiv CS.LG
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ArXi:2605.15673v1 Announce Type: cross We present a highly detailed instance segmentation model for delineating individual tree crowns in natural broadleaf forests using aerial imagery acquired by unmanned aerial vehicles (UAVs). Tree crown delineation in broadleaf forests is challenging than in other forest types due to diversity of crown shapes and the lack of clearly defined treetops. To address this issue, we developed a deep-learning-based crown segmentation model trained on high-quality annotated crown outlines.