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Quantifying the shape of urban street trees and evaluating its influence on their aesthetic functions based on mobile lidar data 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2022, 卷号: 184, 页码: 203-214
作者:  Hu, Tianyu;  Wei, Dengjie;  Su, Yanjun;  Wang, Xudong;  Zhang, Jing;  Sun, Xiliang;  Liu, Yu;  Guo, Qinghua
Adobe PDF(13276Kb)  |  收藏  |  浏览/下载：9/0  |  提交时间：2024/03/07
Mobile mapping system  Street tree  Shape  Aesthetical value  Greenness  
Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2022, 卷号: 269
作者:  Liu, Xiaoqiang;  Su, Yanjun;  Hu, Tianyu;  Yang, Qiuli;  Liu, Bingbing;  Deng, Yufei;  Tang, Hao;  Tang, Zhiyao;  Fang, Jingyun;  Guo, Qinghua
Adobe PDF(6152Kb)  |  收藏  |  浏览/下载：33/0  |  提交时间：2024/03/07
Forest canopy height  GEDI  ICESat-2 ATLAS  Lidar  Spatial interpolation  Deep neural network  
Loess Landslide Detection Using Object Detection Algorithms in Northwest China 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 5
作者:  Ju, Yuanzhen;  Xu, Qiang;  Jin, Shichao;  Li, Weile;  Su, Yanjun;  Dong, Xiujun;  Guo, Qinghua
Adobe PDF(11451Kb)  |  收藏  |  浏览/下载：11/0  |  提交时间：2024/03/07
loess landslide  google earth image  deep learning  automatic identification  object detection  
A novel entropy-based method to quantify forest canopy structural complexity from multiplatform lidar point clouds 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2022, 卷号: 282
作者:  Liu, Xiaoqiang;  Ma, Qin;  Wu, Xiaoyong;  Hu, Tianyu;  Liu, Zhonghua;  Liu, Lingli;  Guo, Qinghua;  Su, Yanjun
Adobe PDF(11200Kb)  |  收藏  |  浏览/下载：13/0  |  提交时间：2024/03/07
Forest canopy structural complexity  Entropy  Multiplatform lidar point clouds  Mann-Kendall test  Kernel density estimation  
Development and Performance Evaluation of a Very Low-Cost UAV-Lidar System for Forestry Applications 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 1
作者:  Hu, Tianyu;  Sun, Xiliang;  Su, Yanjun;  Guan, Hongcan;  Sun, Qianhui;  Kelly, Maggi;  Guo, Qinghua
Adobe PDF(8953Kb)  |  收藏  |  浏览/下载：78/0  |  提交时间：2023/02/24
unmanned aerial vehicle (UAV)  lidar  DJI Livox  low cost  forest inventory  
Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2021, 卷号: 171, 页码: 202-223
作者:  Jin, Shichao;  Sun, Xiliang;  Wu, Fangfang;  Su, Yanjun;  Li, Yumei;  Song, Shiling;  Xu, Kexin;  Ma, Qin;  Baret, Frederic;  Jiang, Dong;  Ding, Yanfeng;  Guo, Qinghua
Adobe PDF(12177Kb)  |  收藏  |  浏览/下载：75/0  |  提交时间：2023/02/24
Lidar  Traits  Phenomics  Breeding  Management  Multi-omits  
The Development and Evaluation of a Backpack LiDAR System for Accurate and Efficient Forest Inventory 期刊论文
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;  Ma, Qin;  Hu, Tianyu;  Wang, Rui;  Li, Yumei
Adobe PDF(3333Kb)  |  收藏  |  浏览/下载：77/0  |  提交时间：2023/02/24
Backpack light detection and ranging (LiDAR) system  diameter at breast height (DBH)  forest inventory  leaf area density (LAD)  simultaneous localization and mapping (SLAM)  terrestrial laser scanning (TLS)  tree height  
Lidar Boosts 3D Ecological Observations and Modelings: A Review and Perspective 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, 2021, 卷号: 9, 期号: 1, 页码: 232-257
作者:  Guo, Qinghua;  Su, Yanjun;  Hu, Tianyu;  Guan, Hongcan;  Jin, Shichao;  Zhang, Jing;  Zhao, Xiaoxia;  Xu, Kexin;  Wei, Dengjie;  Kelly, Maggi;  Coops, Nicholas C.
Adobe PDF(2353Kb)  |  收藏  |  浏览/下载：276/0  |  提交时间：2023/02/24
Laser radar  Vegetation mapping  Three-dimensional displays  Surface emitting lasers  Optical sensors  Ecosystems  Optical reflection  
One-Class Remote Sensing Classification From Positive and Unlabeled Background Data 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 730-746
作者:  Li, Wenkai;  Guo, Qinghua;  Elkan, Charles
Adobe PDF(11598Kb)  |  收藏  |  浏览/下载：72/0  |  提交时间：2023/02/24
Training  Remote sensing  Classification algorithms  Mathematical model  Support vector machines  Data models  Prediction algorithms  Case-control sampling  labeled and unlabeled data  one-class classification  positive and background learning with constraints (PBLC)  remote sensing  
Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks 期刊论文
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;  Xu, Kexin;  Hu, Tianyu;  Liu, Jin;  Pang, Shuxin;  Guan, Hongcan;  Zhang, Jing;  Guo, Qinghua
Adobe PDF(14928Kb)  |  收藏  |  浏览/下载：130/0  |  提交时间：2022/03/01
Classification  deep learning  LiDAR  phenotype  segmentation  structural components