中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共7条,第1-7条 帮助

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Automatic segmentation of stem and leaf components and individual maize plants in field terrestrial LiDAR data using convolutional neural networks 期刊论文  OAI收割
CROP JOURNAL, 2022, 卷号: 10, 期号: 5, 页码: 1239-1250
作者:  
Ao, Zurui;  Wu, Fangfang;  Hu, Saihan;  Sun, Ying;  Guo, Yanjun
  |  收藏  |  浏览/下载:11/0  |  提交时间:2024/03/07
The Development and Evaluation of a Backpack LiDAR System for Accurate and Efficient Forest Inventory 期刊论文  OAI收割
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021, 卷号: 18, 期号: 9, 页码: 1660-1664
作者:  
Su, Yanjun;  Guo, Qinghua;  Jin, Shichao;  Guan, Hongcan;  Sun, Xiliang
  |  收藏  |  浏览/下载:25/0  |  提交时间:2023/02/24
Non-destructive estimation of field maize biomass using terrestrial lidar: an evaluation from plot level to individual leaf level 期刊论文  OAI收割
PLANT METHODS, 2020, 卷号: 16, 期号: 1
作者:  
Jin, Shichao;  Su, Yanjun;  Song, Shilin;  Xu, Kexin;  Hu, Tianyu
  |  收藏  |  浏览/下载:27/0  |  提交时间:2022/03/01
Improved bore-sight calibration for airborne light detection and ranging using planar patches 期刊论文  OAI收割
Journal of Applied Remote Sensing, 2016, 卷号: 10, 期号: 2
作者:  
Li, Dong;  Guo, Huadong;  Wang, Cheng;  Dong, Pinliang;  Zuo, Zhengli
收藏  |  浏览/下载:28/0  |  提交时间:2017/04/24
Segmenting tree crowns from terrestrial and mobile LiDAR data by exploring ecological theories 期刊论文  OAI收割
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2015, 卷号: 110, 页码: 66-76
作者:  
Tao, Shengli;  Wu, Fangfang;  Guo, Qinghua;  Wang, Yongcai;  Li, Wenkai
  |  收藏  |  浏览/下载:33/0  |  提交时间:2022/09/13
Lidar with multi-temporal MODIS provide a means to upscale predictions of forest biomass 期刊论文  OAI收割
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2015, 卷号: 102, 页码: 198-208
作者:  
Li, Le;  Guo, Qinghua;  Tao, Shengli;  Kelly, Maggi;  Xu, Guangcai
  |  收藏  |  浏览/下载:46/0  |  提交时间:2022/09/13
ESTIMATION OF CANOPY GAP FRACTION BASED ON MULTI SCANNING DATA FROM TERRESTRIAL LASER SCANNER 会议论文  OAI收割
2012 Ieee International Geoscience and Remote Sensing Symposium, New York
Bao, Yunfei
收藏  |  浏览/下载:19/0  |  提交时间:2014/12/07