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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：107/0  |  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)  
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：103/0  |  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  
One-class remote sensing classification: one-class vs. binary classifiers 期刊论文
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2018, 卷号: 39, 期号: 6, 页码: 1890-1910
作者:  Deng, Xueqing;  Li, Wenkai;  Liu, Xiaoping;  Guo, Qinghua;  Newsam, Shawn
Adobe PDF(7030Kb)  |  收藏  |  浏览/下载：93/0  |  提交时间：2022/02/25
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：100/0  |  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：34/0  |  提交时间：2023/03/30
Accuracy assessment  background  F-measure  negative  one-class remote sensing classification  positive