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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：16/0  |  提交时间：2024/03/07
Forest canopy structural complexity  Entropy  Multiplatform lidar point clouds  Mann-Kendall test  Kernel density estimation  
An Ensemble of Classifiers Based on Positive and Unlabeled Data in One-Class Remote Sensing Classification 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2018, 卷号: 11, 期号: 2, 页码: 572-584
作者:  Liu, Ran;  Li, Wenkai;  Liu, Xiaoping;  Lu, Xingcheng;  Li, Tianhong;  Guo, Qinghua
Adobe PDF(9506Kb)  |  收藏  |  浏览/下载：87/0  |  提交时间：2022/02/25
Classifier ensemble  one-class classification  positive and unlabeled learning (PUL)  weighted average  weighted vote  
One-Class Classification of Airborne LiDAR Data in Urban Areas Using a Presence and Background Learning Algorithm 期刊论文
REMOTE SENSING, 2017, 卷号: 9, 期号: 10
作者:  Ao, Zurui;  Su, Yanjun;  Li, Wenkai;  Guo, Qinghua;  Zhang, Jing
Adobe PDF(1859Kb)  |  收藏  |  浏览/下载：96/0  |  提交时间：2022/03/28
LiDAR  one-class classification  presence and background learning algorithm  remote sensing  
How to assess the prediction accuracy of species presence-absence models without absence data? 期刊论文
ECOGRAPHY, 2013, 卷号: 36, 期号: 7, 页码: 788-799
作者:  Li, Wenkai;  Guo, Qinghua
Adobe PDF(1061Kb)  |  收藏  |  浏览/下载：32/0  |  提交时间：2023/04/25