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作 者:程智君[1] 游雨云[1] 詹华群 李光明[3] 赵亮亮 Cheng Zhijun;You Yuyun;Zhan Huaqun;Li Guangming;Zhao Liangliang(Department of Electronic Engineering Shangrao Vocational and Technical College ,Shangrao 334109,China;School of Communication and Electronics ,Jiangxi Normal University of Science and Technology ,Nanchangy 330000,China;School of Electrical and Information Engineering ,Shaanxi University of Science and Technology ,Xi'an 710021, China)
机构地区:[1]上饶职业技术学院电子工程系,江西上饶334109 [2]江西科技师范大学通信与电子学院,江西南昌330000 [3]陕西科技大学电气与信息工程学院,西安市710021
出 处:《中国农机化学报》2019年第6期152-157,共6页Journal of Chinese Agricultural Mechanization
基 金:江西省自然科学基金项目(20171BAB206058)——复杂条件下库岸边坡参数概率反演及可靠度更新研究
摘 要:为提高林业勘察的自动化与精确化,采用三维激光扫描仪对单颗树木的三维重建技术进行研究。通过无标靶配准算法对单颗树木的点云数据进行获取与配准,由Kd树结构对所采集到的点云数据进行管理,并进行树木的骨架点提取、骨架连接、重采样、树干表面生成、纹理贴合。最后通过三维软件Leica Cyclone对单颗树木点的云数据进行去噪等处理,运用Matlab软件绘制相关图像。结果表明:单颗树木重建的效果较为逼近树木原型。In order to improve the automation and accuracy of forestry survey, the three-dimensional reconstruction technology of single tree was studied by using three-dimensional laser scanner. The point cloud data of a single tree is acquired and registered by non-target registration algorithm. The collected point cloud data are managed by Kd tree structure, and the tree skeleton points are extracted, connected, resampled, trunk surface generation and texture matching are carried out. Finally, the cloud data of a single tree point are denoised by the three-dimensional software Leica Cyclone, and the related images are drawn by the software of Matlab. The results show that the effect of single tree reconstruction is close to the tree prototype.
分 类 号:S29[农业科学—农业水土工程]
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