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UAV-lidar aids automatic intelligent powerline inspection 期刊论文
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2021, 卷号: 130
作者:  Guan, Hongcan;  Sun, Xiliang;  Su, Yanjun;  Hu, Tianyu;  Wang, Haitao;  Wang, Heping;  Peng, Chigang;  Guo, Qinghua
Adobe PDF(10491Kb)  |  收藏  |  浏览/下载：79/0  |  提交时间：2023/02/24
Powerline inspection  Intelligent  Unmanned aerial vehicle  Deep learning  Lidar  
Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 4, 页码: 2644-2658
作者:  Jin, Shichao;  Su, Yanjun;  Gao, Shang;  Wu, Fangfang;  Ma, Qin;  Xu, Kexin;  Hu, Tianyu;  Liu, Jin;  Pang, Shuxin;  Guan, Hongcan;  Zhang, Jing;  Guo, Qinghua
Adobe PDF(14928Kb)  |  收藏  |  浏览/下载：131/0  |  提交时间：2022/03/01
Classification  deep learning  LiDAR  phenotype  segmentation  structural components  
A marker-free method for registering multi-scan terrestrial laser scanning data in forest environments 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 卷号: 166, 页码: 82-94
作者:  Guan, Hongcan;  Su, Yanjun;  Sun, Xiliang;  Xu, Guangcai;  Li, Wenkai;  Ma, Qin;  Wu, Xiaoyong;  Wu, Jin;  Liu, Lingli;  Guo, Qinghua
Adobe PDF(11275Kb)  |  收藏  |  浏览/下载：93/0  |  提交时间：2022/03/01
Terrestrial laser scanning  Registration  Marker-free  Forest  
An updated Vegetation Map of China (1:1000000) 期刊论文
SCIENCE BULLETIN, 2020, 卷号: 65, 期号: 13, 页码: 1125-1136
作者:  Su, Yanjun;  Guo, Qinghua;  Hu, Tianyu;  Guan, Hongcan;  Jin, Shichao;  An, Shazhou;  Chen, Xuelin;  Guo, Ke;  Hao, Zhanqing;  Hu, Yuanman;  Huang, Yongmei;  Jiang, Mingxi;  Li, Jiaxiang;  Li, Zhenji;  Li, Xiankun;  Li, Xiaowei;  Liang, Cunzhu;  Liu, Renlin;  Liu, Qing;  Ni, Hongwei;  Peng, Shaolin;  Shen, Zehao;  Tang, Zhiyao;  Tian, Xingjun;  Wang, Xihua;  Wang, Renqing;  Xie, Zongqiang;  Xie, Yingzhong;  Xu, Xiaoniu;  Yang, Xiaobo;  Yang, Yongchuan;  Yu, Lifei;  Yue, Ming;  Zhang, Feng;  Ma, Keping
Adobe PDF(6509Kb)  |  收藏  |  浏览/下载：104/0  |  提交时间：2022/03/01
An Object-Based Strategy for Improving the Accuracy of Spatiotemporal Satellite Imagery Fusion for Vegetation-Mapping Applications 期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 24
作者:  Guan, Hongcan;  Su, Yanjun;  Hu, Tianyu;  Chen, Jin;  Guo, Qinghua
Adobe PDF(10441Kb)  |  收藏  |  浏览/下载：94/0  |  提交时间：2022/01/06
spatiotemporal data fusion  object-based framework  similar pixel  vegetation mapping