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梁欣廉

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个人简介

梁欣廉，武汉大学教授, 博士生导师。 2013年于芬兰阿尔托大学（Aalto University）以优秀博士论文成绩取得博士学位。主要研究方向为多源支持感知与认知，依托大数据、机器学习等技术，利用无人机、移动平台、主被动传感器实现复杂场景...

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论文成果

Benchmarking of laser-based simultaneous localization and mapping methods in forest environments

发布时间：2024-10-02 点击次数：

影响因子：8.6

DOI码：10.1109/TGRS.2024.3439438

发表刊物：IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

关键字：Forestry；Simultaneous localization and mapping；Accuracy；Benchmark testing；Feature extraction；Trajectory；Vegetation；Angle-based feature；benchmarking；continuity ；restriction (CR)；hand-held personal laser scanning；simultaneous localization and mapping (SLAM)

论文类型：期刊论文

通讯作者：Wang, XC (Wang, Xiaochen) [1] ; Liang, XL (Liang, Xinlian) [1] ; Campos, M (Campos, Mariana) [2] ; Zhang, J (Zhang, Jian) [3] ; Wang, YS (Wang, Yunsheng) [2]

卷号：62

ISSN号：0196-2892

是否译文：否

发表时间：2024-10-02

收录刊物：SCI

发布期刊链接：https://webofscience.clarivate.cn/wos/woscc/full-record/WOS:001317811700020

附件：

1.Benchmarking of Laser-Based Simultaneous Localization and Mapping Methods in Forest Environments.pdf

上一条：Influence of data and methods on high-resolution imagery-based tree species recognition considering phenology: The case of temperate forests 下一条：Automated first-order tree branch modeling at plot- and individual-tree-levels from close-range sensing for silviculture and forest ecology