机构

• 植物研究所 [7]

采集方式

• OAI收割 [7]

内容类型

• 期刊论文 [7]

发表日期

• 2020 [7]

学科主题

• Engineerin... [7]
• Imaging Sc... [5]
• Remote Sen... [5]
• Geography,... [3]
• Computer S... [2]
• Geochemist... [2]
• 更多

筛选

浏览/检索结果: 共7条，第1-7条 帮助 限定条件 发表日期：2020    学科主题：Engineering, Electrical & Electronic     条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序题名升序题名降序作者升序作者降序发表日期升序发表日期降序 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   ADMorph: A 3D Digital Microfossil Morphology Dataset for Deep Learning 期刊论文  OAI收割 IEEE ACCESS, 2020, 卷号: 8, 页码: 148744-148756 作者:  Hou, Yemao;  Cui, Xindong;  Canul-Ku, Mario;  Jin, Shichao;  Hasimoto-Beltran, Rogelio   |  收藏  |  浏览/下载：20/0  |  提交时间：2022/01/06 Three-dimensional displays  Solid modeling  Computational modeling  Machine learning  Two dimensional displays  Biological system modeling  Shape  Archives of digital morphology  data preprocessing  feature extraction  3D microfossil model classification  deep learning   A Point-Based Fully Convolutional Neural Network for Airborne LiDAR Ground Point Filtering in Forested Environments 期刊论文  OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 卷号: 13, 页码: 3958-3974 作者:  Jin, Shichao;  Sun, Yanjun;  Zhao, Xiaoqian;  Hu, Tianyu;  Guo, Qinghua   |  收藏  |  浏览/下载：17/0  |  提交时间：2022/01/06 Digital terrain model (DTM)  deep learning  fully convolutional neural network (FCN)  ground filtering  light detection and ranging (LiDAR)   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:     |  收藏  |  浏览/下载：11/0  |  提交时间：2022/03/01 Classification  deep learning  LiDAR  phenotype  segmentation  structural components   A Point-Based Fully Convolutional Neural Network for Airborne LiDAR Ground Point Filtering in Forested Environments 期刊论文  OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 卷号: 13, 页码: 3958-3974 作者:  Jin, Shichao;  Sun, Yanjun;  Zhao, Xiaoqian;  Hu, Tianyu;  Guo, Qinghua   |  收藏  |  浏览/下载：10/0  |  提交时间：2022/03/01 Digital terrain model (DTM)  deep learning  fully convolutional neural network (FCN)  ground filtering  light detection and ranging (LiDAR)   ADMorph: A 3D Digital Microfossil Morphology Dataset for Deep Learning 期刊论文  OAI收割 IEEE ACCESS, 2020, 卷号: 8, 页码: 148744-148756 作者:  Hou, Yemao;  Cui, Xindong;  Canul-Ku, Mario;  Jin, Shichao;  Hasimoto-Beltran, Rogelio   |  收藏  |  浏览/下载：11/0  |  提交时间：2022/03/01 Three-dimensional displays  Solid modeling  Computational modeling  Machine learning  Two dimensional displays  Biological system modeling  Shape  Archives of digital morphology  data preprocessing  feature extraction  3D microfossil model classification  deep learning   A Framework for Land Use Scenes Classification Based on Landscape Photos 期刊论文  OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 卷号: 13, 页码: 6124-6141 作者:  Xu, Shiwu;  Zhang, Shihui;  Zeng, Jue;  Li, Tingyu;  Guo, Qinghua   |  收藏  |  浏览/下载：8/0  |  提交时间：2022/03/01 Semantics  Remote sensing  Image analysis  Image segmentation  Object recognition  Machine learning  Forestry  Deep convolutional neural networks (DCNNs)  landscape photos  land survey  land use scene classification