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A handheld device for measuring the diameter at breast height of individual trees using laser ranging and deep-learning based image recognition

机译：一种手持设备，用于使用激光测距和基于深度学习的图像识别测量单个树胸部高度的直径

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Chuangye Song; Bin Yang; Lin Zhang; Dongxiu Wu;
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1. Investigation of Benefit of Applying Handheld Scanner to Measure Tree Height and Diameter at Breast Height [J] . Joon Kyu Park, Dae Yong Um Sensors and materials . 2020,第11期

机译：应用手持扫描仪的益处调查乳房高度测量树高和直径
2. 3D modelling of individual trees using a handheld camera: Accuracy of height, diameter and volume estimates [J] . Miller Jordan, Morgenroth Justin, Gomez Christopher Urban Forestry & Urban Greening . 2015,第4期

机译：使用手持摄像机对单个树木进行3D建模：高度，直径和体积估计的准确性
3. Innovative deep learning artificial intelligence applications for predicting relationships between individual tree height and diameter at breast height [J] . ?lker Ercanl? Forest Ecosystems . 2020,第1期

机译：创新的深度学习人工智能应用，用于预测乳房高度的单个树高度和直径之间的关系
4. EXTRACTING TREE COUNT AND INDIVIDUAL TREE CROWN FROM LIDAR- DERIVED CANOPY HEIGHT MODEL USING OBJECT-BASED IMAGE ANALYSIS [C] . Matthew V. Malabanan, Enrico C. Paringit, Gio P. Zaragosa, Asian conference on remote sensing;ACRS . 2016

机译：基于对象的图像分析从基于树冠的高度模型中提取树数和单个树冠
5. MODELS OF STAND BASAL AREA DISTRIBUTIONS, INDIVIDUAL TREE BASAL AREA GROWTH, AND HEIGHT-DIAMETER RELATIONSHIPS FOR LOBLOLLY PINE [D] . GREEN, EDWIN JAMES. 1981

机译：松树立足的基础区域分布模型，单个树的基础区域生长以及高度-直径关系
6. Automated low-cost terrestrial laser scanner for measuring diameters at breast height and heights of plantation trees [O] . Pei Wang, Ronghao Li, Guochao Bu, 2012

机译：自动化的低成本地面激光扫描仪，可测量胸高和种植树高处的直径
7. Estimating Individual Tree Height and Diameter at Breast Height (DBH) from Terrestrial Laser Scanning (TLS) Data at Plot Level [O] . Guangjie Liu, Jinliang Wang, Pinliang Dong, 2018

机译：在绘图级别估算乳房高度（DBH）处的单个树高和直径（DBH）
8. Relationship of Stump Diameter to Diameter at Breast Height for Seven Tree Species in Arizona and New Mexico [R] . Hann, D. W. 1976

机译：亚利桑那州和新墨西哥州七种树种树桩直径与乳房直径的关系

A handheld device for measuring the diameter at breast height of individual trees using laser ranging and deep-learning based image recognition

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