机构

• 植物研究所 [14]

采集方式

• OAI收割 [14]

内容类型

• 期刊论文 [14]

发表日期

• 2020 [14]

学科主题

• Geoscience... [4]
• Imaging Sc... [4]
• Remote Sen... [4]
• Plant Scie... [3]
• Biochemica... [2]
• Biodiversi... [2]
• 更多

筛选

浏览/检索结果: 共14条，第1-10条 帮助 限定条件 发表日期：2020    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： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 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   Estimation of degraded grassland aboveground biomass using machine learning methods from terrestrial laser scanning data 期刊论文  OAI收割 ECOLOGICAL INDICATORS, 2020, 卷号: 108 作者:  Xu, Kexin;  Su, Yanjun;  Liu, Jin;  Hu, Tianyu;  Jin, Shichao   |  收藏  |  浏览/下载：53/0  |  提交时间：2022/01/06 Aboveground biomass (AGB)  Degraded grassland  Machine learning  Northern agro-pastoral ecotone  Terrestrial laser scanning (TLS)   An updated Vegetation Map of China (1:1000000) 期刊论文  OAI收割 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   |  收藏  |  浏览/下载：29/0  |  提交时间：2022/01/06 Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks 期刊论文  OAI收割 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   |  收藏  |  浏览/下载：17/0  |  提交时间：2022/01/06 Classification  deep learning  LiDAR  phenotype  segmentation  structural components   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：14/0  |  提交时间：2022/01/06 Ecological resources  Deep learning  Neural network  Big data  Theory and tools  Application and challenge   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：16/0  |  提交时间：2022/01/06 Biomass  Phenotype  Machine learning  Terrestrial lidar  Precision agriculture   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   An updated Vegetation Map of China (1:1000000) 期刊论文  OAI收割 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   |  收藏  |  浏览/下载：22/0  |  提交时间：2022/03/01 Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks 期刊论文  OAI收割 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   |  收藏  |  浏览/下载：11/0  |  提交时间：2022/03/01 Classification  deep learning  LiDAR  phenotype  segmentation  structural components   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：11/0  |  提交时间：2022/03/01 Biomass  Phenotype  Machine learning  Terrestrial lidar  Precision agriculture