AI RESEARCH
TreeDGS: Aerial Gaussian Splatting for Distant DBH Measurement
arXiv CS.CV
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ArXi:2601.12823v3 Announce Type: replace Aerial remote sensing efficiently surveys large areas, but accurate direct object-level measurement remains difficult in complex natural scenes. Advancements in 3D computer vision, particularly radiance field representations such as NeRF and 3D Gaussian splatting, can improve reconstruction fidelity from posed imagery. Nevertheless, direct aerial measurement of important attributes like tree diameter at breast height (DBH) remains challenging.