机构

• 植物研究所 [32]

采集方式

• OAI收割 [32]

内容类型

• 期刊论文 [32]

发表日期

• 2022 [4]
• 2021 [3]
• 2020 [7]
• 2019 [1]
• 2018 [2]
• 2017 [2]
• 更多

学科主题

• Remote Se... [16]
• Imaging S... [15]
• Geoscienc... [12]
• Environmen... [9]
• Geography,... [6]
• Engineerin... [3]
• 更多

筛选

浏览/检索结果: 共32条，第1-10条 帮助 限定条件 专题：植物研究所    第一署名单位    第一作者单位    通讯作者单位     条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 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：2/0  |  提交时间：2024/03/07 Terrestrial LiDAR Phenotype  Organ segmentation  Convolutional neural networks   Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2022, 卷号: 269 作者:  Liu, Xiaoqiang;  Su, Yanjun;  Hu, Tianyu;  Yang, Qiuli;  Liu, Bingbing   |  收藏  |  浏览/下载：23/0  |  提交时间：2024/03/07 Forest canopy height  GEDI  ICESat-2 ATLAS  Lidar  Spatial interpolation  Deep neural network   Applying a Portable Backpack Lidar to Measure and Locate Trees in a Nature Forest Plot: Accuracy and Error Analyses 期刊论文  OAI收割 REMOTE SENSING, 2022, 卷号: 14, 期号: 8 作者:  Xie, Yuyang;  Yang, Tao;  Wang, Xiaofeng;  Chen, Xi;  Pang, Shuxin   |  收藏  |  浏览/下载：15/0  |  提交时间：2024/03/07 backpack lidar  closed forest  SLAM  stem positioning  accuracy  paired-tree distance   The Shift from Energy to Water Limitation in Local Canopy Height from Temperate to Tropical Forests in China 期刊论文  OAI收割 FORESTS, 2022, 卷号: 13, 期号: 5 作者:  Wang, Bojian;  Fang, Shuai;  Wang, Yunyun;  Guo, Qinghua;  Hu, Tianyu   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/03/07 maximum forest canopy height (Hmax)  water- and energy-related hypotheses  local-scale forest plot  light detection and ranging (LiDAR)   Individual tree detection and crown segmentation based on metabolic theory from airborne laser scanning data 期刊论文  OAI收割 JOURNAL OF APPLIED REMOTE SENSING, 2021, 卷号: 15, 期号: 3 作者:  Xin, Honglu;  Malhi, Yadvinder;  Coomes, David A.;  Lin, Yi;  Liu, Baoli   |  收藏  |  浏览/下载：9/0  |  提交时间：2023/02/24 airborne laser scanning  individual tree detection  crown segmentation  metabolic theory  understory   UAV-based individual shrub aboveground biomass estimation calibrated against terrestrial LiDAR in a shrub-encroached grassland 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2021, 卷号: 101 作者:  Zhao, Yujin;  Liu, Xiaoliang;  Wang, Yang;  Zheng, Zhaoju;  Zheng, Shuxia   |  收藏  |  浏览/下载：14/0  |  提交时间：2023/02/24 Shrub encroachment  Biomass  Unmanned aerial vehicle (UAV)  Terrestrial laser scanning  Volume  Individual shrub identification   UAV-lidar aids automatic intelligent powerline inspection 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2021, 卷号: 130 作者:  Guan, Hongcan;  Sun, Xiliang;  Su, Yanjun;  Hu, Tianyu;  Wang, Haitao   |  收藏  |  浏览/下载：10/0  |  提交时间：2023/02/24 Powerline inspection  Intelligent  Unmanned aerial vehicle  Deep learning  Lidar   A marker-free method for registering multi-scan terrestrial laser scanning data in forest environments 期刊论文  OAI收割 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   |  收藏  |  浏览/下载：34/0  |  提交时间：2022/01/06 Terrestrial laser scanning  Registration  Marker-free  Forest   Application of deep learning in ecological resource research: Theories, methods, and challenges 期刊论文  OAI收割 SCIENCE CHINA-EARTH SCIENCES, 2020, 卷号: 63, 期号: 10, 页码: 1457-1474 作者:  Guo, Qinghua;  Jin, Shichao;  Li, Min;  Yang, Qiuli;  Xu, Kexin   |  收藏  |  浏览/下载：12/0  |  提交时间：2022/01/06 Ecological resources  Deep learning  Neural network  Big data  Theory and tools  Application and challenge   Application of deep learning in ecological resource research: Theories, methods, and challenges 期刊论文  OAI收割 SCIENCE CHINA-EARTH SCIENCES, 2020, 卷号: 63, 期号: 10, 页码: 1457-1474 作者:  Guo, Qinghua;  Jin, Shichao;  Li, Min;  Yang, Qiuli;  Xu, Kexin   |  收藏  |  浏览/下载：7/0  |  提交时间：2022/03/01 Ecological resources  Deep learning  Neural network  Big data  Theory and tools  Application and challenge