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ADMorph: A 3D Digital Microfossil Morphology Dataset for Deep Learning 期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 148744-148756
作者:  Hou, Yemao;  Cui, Xindong;  Canul-Ku, Mario;  Jin, Shichao;  Hasimoto-Beltran, Rogelio;  Guo, Qinghua;  Zhu, Min
Adobe PDF(1648Kb)  |  收藏  |  浏览/下载：100/0  |  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 Point-Based Fully Convolutional Neural Network for Airborne LiDAR Ground Point Filtering in Forested Environments 期刊论文
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
Adobe PDF(7633Kb)  |  收藏  |  浏览/下载：100/0  |  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)  
Quantifying individual tree growth and tree competition using bi-temporal airborne laser scanning data: a case study in the Sierra Nevada Mountains, California 期刊论文
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2018, 卷号: 11, 期号: 5, 页码: 485-503
作者:  Ma, Qin;  Su, Yanjun;  Tao, Shengli;  Guo, Qinghua
Adobe PDF(4277Kb)  |  收藏  |  浏览/下载：118/0  |  提交时间：2022/02/25
Airborne Laser Scanning  change detection  tree growth  tree competition  Sierra Nevada  
Fine-resolution forest tree height estimation across the Sierra Nevada through the integration of spaceborne LiDAR, airborne LiDAR, and optical imagery 期刊论文
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2017, 卷号: 10, 期号: 3, 页码: 307-323
作者:  Su, Yanjun;  Ma, Qin;  Guo, Qinghua
Adobe PDF(4133Kb)  |  收藏  |  浏览/下载：65/0  |  提交时间：2022/03/28
Tree height  Sierra Nevada  LiDAR  integration  fine resolution