Individual Tree Segmentation and Tree Height Estimation . . . Accurate individual tree segmentation (ITS) is fundamental to forest management and to the studies of forest ecosystem Unmanned Aerial Vehicle Light Detection and Ranging (UAV-LiDAR) shows advantages for ITS and tree height estimation at stand and landscape scale
SegmentAnyTree: A sensor and platform agnostic deep . . . This study focuses on advancing individual tree crown (ITC) segmentation in lidar data, developing a sensor- and platform-agnostic deep learning model transferable across a spectrum of dense laser scanning datasets from drone (ULS), to terrestrial (TLS), and mobile (MLS) laser scanning data
Single-tree Delineation by Instance Segmentation Using . . . Using UAV multispectral imagery and lidar canopy height models (CHM), we assessed the influence of tree species composition, stand density, and foliage condition on the robustness of deep-learning-based single-tree segmentation
Individual Tree Crown Segmentation and Crown Width . . . This study proposes a novel concept for synergetic use of the YOLO-v4 deep learning network based on heightmaps directly generated from airborne LiDAR data for ITC segmentation and a computer graphics algorithm for refinement of the segmentation results involving overlapping tree crowns
Remote Sensing - mindat. org Qin, Haiming, Zhou, Weiqi, Yao, Yang, Wang, Weimin (2022) Individual tree segmentation and tree species classification in subtropical broadleaf forests using UAV-based LiDAR, hyperspectral, and ultrahigh-resolution RGB data
SegmentAnyTree: A sensor and platform agnostic deep . . . This research advances individual tree crown (ITC) segmentation in lidar data, using a deep learning model applicable to various laser scanning types: airborne (ULS), terrestrial (TLS), and mobile (MLS)
Individual Tree Segmentation and Tree Height Estimation . . . Accurate individual tree segmentation (ITS) is fundamental to forest management and to the studies of forest ecosystem Unmanned Aerial Vehicle Light Detection and Ranging (UAV-LiDAR) shows advantages for ITS and tree height estimation at stand and landscape scale