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Fuxun Liang

Fuxun Liang

Ph.D. candidate

Luoyu Road, No.129
430079, Wuhan


Tel: (+86)156-2363-2295

Mail: liangfuxun@whu.edu.cn

QQ:  303823926






研究成果

博士期间主要研究广义点云数据的融合,以及基于广义点云的太阳能潜力估计方法。

太阳能具有清洁、可再生等重要特点,是地球能源的重要组成部分,随着当下能源问题、环境问题日益突出,太阳能资源合理利用,具有更为重要的意义。太阳能潜力分布与地表形态密切相关,利用遥感技术,可以快速准确获取多尺度的地表三维形态,实现多尺度的太阳能潜力估计,从而为太阳能的开发利用提供依据。



论文发表

2018

  • Pan Yue, Yang Bisheng, Liang Fuxun, et al. Iterative Global Similarity Points: A robust coarse-to-fine integration solution for pairwise 3D point cloud registration[J]. arXiv preprint arXiv:1808.03899, 2018.

  • Zang Yufu, Yang Bisheng, Liang Fuxun, et al. Novel Adaptive Laser Scanning Method for Point Clouds of Free-Form Objects[J]. Sensors, 2018, 18(7): 2239.

  • Huang Ronggang, Yang Bisheng, Liang Fuxun, et al. A top-down strategy for buildings extraction from complex urban scenes using airborne LiDAR point clouds[J]. Infrared Physics & Technology, 2018, 92: 203-218.

  • 梁福逊, 杨必胜, 黄荣刚 等. 基于多源点云的建筑物立面太阳能潜力估计[J]. 测绘学报, 2018(2).

2017

  • Dong Zhen, Yang Bisheng, Liu Yuan, Liang Fuxun, et al. A novel binary shape context for 3D local surface description[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2017, 130: 431-452.

  • Yang Bisheng, Dong Zhen, Liu Yuan, Liang Fuxun,et al. Computing multiple aggregation levels and contextual features for road facilities recognition using mobile laser scanning data[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2017, 126: 180-194.

  • Yang Bisheng, Liu Yuan, Dong Zhen, Liang Fuxun et al. 3D local feature BKD to extract road information from mobile laser scanning point clouds[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2017, 130: 329-343.

  • 杨必胜,             梁福逊, 黄荣刚. 三维激光扫描点云数据处理研究进展、挑战与趋势[J]. 测绘学报, 2017, 46(10):1509-1516.

2016

  • Yang Bisheng, Dong Zhen, Liang Fuxun, et al. Automatic registration of large-scale urban scene point clouds based on semantic feature points[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2016, 113: 43-58.

  • Yang Bisheng, Liu Yuan, Liang Fuxun, et al. Using mobile laser scanning data for features extraction of high accuracy driving maps[J]. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2016, 41.