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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：78/0  |  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  
An Impartial Semi-Supervised Learning Strategy for Imbalanced Classification on VHR Images 期刊论文
SENSORS, 2020, 卷号: 20, 期号: 22
作者:  Sun, Fei;  Fang, Fang;  Wang, Run;  Wan, Bo;  Guo, Qinghua;  Li, Hong;  Wu, Xincai
Adobe PDF(5707Kb)  |  收藏  |  浏览/下载：102/0  |  提交时间：2022/03/01
image classification  class imbalance  impartial semi-supervised learning strategy (ISS)  extreme gradient boosting (XGB)  very-high-resolution (VHR)  
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：134/0  |  提交时间：2022/03/01
Classification  deep learning  LiDAR  phenotype  segmentation  structural components  
A Framework for Land Use Scenes Classification Based on Landscape Photos 期刊论文
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;  Jin, Shichao
Adobe PDF(6559Kb)  |  收藏  |  浏览/下载：93/0  |  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  
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：92/0  |  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  
Efficiency of Extreme Gradient Boosting for Imbalanced Land Cover Classification Using an Extended Margin and Disagreement Performance 期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 卷号: 8, 期号: 7
作者:  Sun, Fei;  Wang, Run;  Wan, Bo;  Su, Yanjun;  Guo, Qinghua;  Huang, Youxin;  Wu, Xincai
Adobe PDF(11880Kb)  |  收藏  |  浏览/下载：86/0  |  提交时间：2022/01/06
gradient boosting trees  margin  class imbalance  very-high resolution (VHR) remote sensing  land cover classification  disagreement performance  
Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms 期刊论文
FRONTIERS IN PLANT SCIENCE, 2018, 卷号: 9
作者:  Jin, Shichao;  Su, Yanjun;  Gao, Shang;  Wu, Fangfang;  Hu, Tianyu;  Liu, Jin;  Li, Wankai;  Wang, Dingchang;  Chen, Shaojiang;  Jiang, Yuanxi;  Pang, Shuxin;  Guo, Qinghua
Adobe PDF(2278Kb)  |  收藏  |  浏览/下载：82/0  |  提交时间：2022/02/25
deep learning  detection  classification  segmentation  phenotype  Lidar (light detection and ranging)  
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：81/0  |  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：90/0  |  提交时间：2022/03/28
LiDAR  one-class classification  presence and background learning algorithm  remote sensing  
A New Accuracy Assessment Method for One-Class Remote Sensing Classification 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2014, 卷号: 52, 期号: 8, 页码: 4621-4632
作者:  Li, Wenkai;  Guo, Qinghua
Adobe PDF(2029Kb)  |  收藏  |  浏览/下载：32/0  |  提交时间：2023/03/30
Accuracy assessment  background  F-measure  negative  one-class remote sensing classification  positive