Qinghua Guo

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 35

Top Topics

Satellite Imagery

Convolutional Neural Network

Top Venues

IEEE Trans. Geosci. Remote. Sens.

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

Publications

Yi Wang, Shichao Jin, Zekun Yang, Hongcan Guan, Yu Ren, Kai Cheng, Xiaoqian Zhao, Xiaoqiang Liu, Mengxi Chen, Yu Liu, Qinghua Guo
TTSR: A Transformer-Based Topography Neural Network for Digital Elevation Model Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Zekun Yang, Yanjun Su, Wenkai Li, Kai Cheng, Hongcan Guan, Yu Ren, Tianyu Hu, Guangcai Xu, Qinghua Guo
Segmenting Individual Trees From Terrestrial LiDAR Data Using Tree Branch Directivity. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Yuanzhen Ju, Qiang Xu, Shichao Jin, Weile Li, Yanjun Su, Xiujun Dong, Qinghua Guo
Loess Landslide Detection Using Object Detection Algorithms in Northwest China. Remote. Sens. 14 (5) (2022)
Yanwen Fu, Guangcai Xu, Shang Gao, Limin Feng, Qinghua Guo, Haitao Yang
LiDAR Reveals the Process of Vision-Mediated Predator-Prey Relationships. Remote. Sens. 14 (15) (2022)
Wenkai Li, Qinghua Guo, Charles Elkan
One-Class Remote Sensing Classification From Positive and Unlabeled Background Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Yanjun Su, Qinghua Guo, Shichao Jin, Hongcan Guan, Xiliang Sun, Qin Ma, Tianyu Hu, Rui Wang, Yumei Li
The Development and Evaluation of a Backpack LiDAR System for Accurate and Efficient Forest Inventory. IEEE Geosci. Remote. Sens. Lett. 18 (9) (2021)
Tianyu Hu, Xiliang Sun, Yanjun Su, Hongcan Guan, Qianhui Sun, Maggi Kelly, Qinghua Guo
Development and Performance Evaluation of a Very Low-Cost UAV-Lidar System for Forestry Applications. Remote. Sens. 13 (1) (2021)
Tianyu Hu, YingYing Zhang, Yanjun Su, Yi Zheng, Guanghui Lin, Qinghua Guo
Mapping the Global Mangrove Forest Aboveground Biomass Using Multisource Remote Sensing Data. Remote. Sens. 12 (10) (2020)
Yemao Hou, Xindong Cui, Mario Canul-Ku, Shichao Jin, Rogelio Hasimoto-Beltrán, Qinghua Guo, Min Zhu
ADMorph: A 3D Digital Microfossil Morphology Dataset for Deep Learning. IEEE Access 8 (2020)
Shichao Jin, Yanjun Su, Xiaoqian Zhao, Tianyu Hu, Qinghua Guo
A Point-Based Fully Convolutional Neural Network for Airborne LiDAR Ground Point Filtering in Forested Environments. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Hongcan Guan, Jing Zhang, Qin Ma, Min Liu, Fayun Wu, Qinghua Guo, Yanjun Su, Tianyu Hu, Rui Wang, Qin Ma, Qiuli Yang, Xiliang Sun, Yumei Li, Shichao Jin
A Novel Framework to Automatically Fuse Multiplatform LiDAR Data in Forest Environments Based on Tree Locations. IEEE Trans. Geosci. Remote. Sens. 58 (3) (2020)
Dezhi Wang, Bo Wan, Jing Liu, Yanjun Su, Qinghua Guo, Penghua Qiu, Xincai Wu
Estimating aboveground biomass of the mangrove forests on northeast Hainan Island in China using an upscaling method from field plots, UAV-LiDAR data and Sentinel-2 imagery. Int. J. Appl. Earth Obs. Geoinformation 85 (2020)
Shiwu Xu, Shihui Zhang, Jue Zeng, Tingyu Li, Qinghua Guo, Shichao Jin
A Framework for Land Use Scenes Classification Based on Landscape Photos. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Fei Sun, Fang Fang, Run Wang, Bo Wan, Qinghua Guo, Hong Li, Xincai Wu
An Impartial Semi-Supervised Learning Strategy for Imbalanced Classification on VHR Images. Sensors 20 (22) (2020)
Shichao Jin, Yanjun Su, Shang Gao, Fangfang Wu, Qin Ma, Kexin Xu, Qin Ma, Tianyu Hu, Jin Liu, Shuxin Pang, Hongcan Guan, Jing Zhang, Qinghua Guo
Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. 58 (4) (2020)
Qiuli Yang, Yanjun Su, Shichao Jin, Maggi Kelly, Tianyu Hu, Qin Ma, Yumei Li, Shilin Song, Jing Zhang, Guangcai Xu, Jianxin Wei, Qinghua Guo
The Influence of Vegetation Characteristics on Individual Tree Segmentation Methods with Airborne LiDAR Data. Remote. Sens. 11 (23) (2019)
Fei Sun, Run Wang, Bo Wan, Yanjun Su, Qinghua Guo, Youxin Huang, Xincai Wu
Efficiency of Extreme Gradient Boosting for Imbalanced Land Cover Classification Using an Extended Margin and Disagreement Performance. ISPRS Int. J. Geo Inf. 8 (7) (2019)
Hongcan Guan, Yanjun Su, Tianyu Hu, Jin Chen, Qinghua Guo
An Object-Based Strategy for Improving the Accuracy of Spatiotemporal Satellite Imagery Fusion for Vegetation-Mapping Applications. Remote. Sens. 11 (24) (2019)
Tianyu Hu, Qin Ma, Yanjun Su, John J. Battles, Brandon M. Collins, Scott L. Stephens, Maggi Kelly, Qinghua Guo
A simple and integrated approach for fire severity assessment using bi-temporal airborne LiDAR data. Int. J. Appl. Earth Obs. Geoinformation 78 (2019)
Shichao Jin, Yanjun Su, Fangfang Wu, Shuxin Pang, Shang Gao, Tianyu Hu, Jin Liu, Qinghua Guo
Stem-Leaf Segmentation and Phenotypic Trait Extraction of Individual Maize Using Terrestrial LiDAR Data. IEEE Trans. Geosci. Remote. Sens. 57 (3) (2019)
Dezhi Wang, Bo Wan, Penghua Qiu, Yanjun Su, Qinghua Guo, Xincai Wu
Artificial Mangrove Species Mapping Using Pléiades-1: An Evaluation of Pixel-Based and Object-Based Classifications with Selected Machine Learning Algorithms. Remote. Sens. 10 (2) (2018)
Yumei Li, Qinghua Guo, Yanjun Su
Retrieving the Leaf area Index of Individual Trees and Stands using Single-Scan Data From a Terrestrial Laser Scanner. IGARSS (2018)
Yumei Li, Yanjun Su, Tianyu Hu, Guangcai Xu, Qinghua Guo
Retrieving 2-D Leaf Angle Distributions for Deciduous Trees From Terrestrial Laser Scanner Data. IEEE Trans. Geosci. Remote. Sens. 56 (8) (2018)
Yanjun Su, Hongcan Guan, Tianyu Hu, Qinghua Guo
The Integration of Uavand Backpack Lidar Systems for Forest Inventory. IGARSS (2018)
Shichao Jin, Yanjun Su, Shang Gao, Tianyu Hu, Jin Liu, Qinghua Guo
The Transferability of Random Forest in Canopy Height Estimation from Multi-Source Remote Sensing Data. Remote. Sens. 10 (8) (2018)
Dezhi Wang, Bo Wan, Penghua Qiu, Yanjun Su, Qinghua Guo, Run Wang, Fei Sun, Xincai Wu
Evaluating the Performance of Sentinel-2, Landsat 8 and Pléiades-1 in Mapping Mangrove Extent and Species. Remote. Sens. 10 (9) (2018)
Ran Liu, Wenkai Li, Xiaoping Liu, Xingcheng Lu, Tianhong Li, Qinghua Guo
An Ensemble of Classifiers Based on Positive and Unlabeled Data in One-Class Remote Sensing Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11 (2) (2018)
Maggi Kelly, Yanjun Su, Stefania Di Tommaso, Danny L. Fry, Brandon M. Collins, Scott L. Stephens, Qinghua Guo
Impact of Error in Lidar-Derived Canopy Height and Canopy Base Height on Modeled Wildfire Behavior in the Sierra Nevada, California, USA. Remote. Sens. 10 (1) (2018)
Qin Ma, Yanjun Su, Shengli Tao, Qinghua Guo
Quantifying individual tree growth and tree competition using bi-temporal airborne laser scanning data: a case study in the Sierra Nevada Mountains, California. Int. J. Digit. Earth 11 (5) (2018)
Qin Ma, Tianyu Hu, Yanjun Su, Qinghua Guo, John J. Battles, Maggi Kelly
Individual Tree Level Forest Fire Assessment Using Bi-temporal LiDAR Data. IGARSS (2018)
Run Wang, Bo Wan, Qinghua Guo, Maosheng Hu, Shunping Zhou
Mapping Regional Urban Extent Using NPP-VIIRS DNB and MODIS NDVI Data. Remote. Sens. 9 (8) (2017)
Yanjun Su, Qin Ma, Qinghua Guo
Fine-resolution forest tree height estimation across the Sierra Nevada through the integration of spaceborne LiDAR, airborne LiDAR, and optical imagery. Int. J. Digit. Earth 10 (3) (2017)
Qin Ma, Yanjun Su, Qinghua Guo
Comparison of Canopy Cover Estimations From Airborne LiDAR, Aerial Imagery, and Satellite Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10 (9) (2017)
Zurui Ao, Yanjun Su, Wenkai Li, Qinghua Guo, Jing Zhang
One-Class Classification of Airborne LiDAR Data in Urban Areas Using a Presence and Background Learning Algorithm. Remote. Sens. 9 (10) (2017)
Tianyu Hu, Yanjun Su, Baolin Xue, Jin Liu, Xiaoqian Zhao, Jingyun Fang, Qinghua Guo
Mapping Global Forest Aboveground Biomass with Spaceborne LiDAR, Optical Imagery, and Forest Inventory Data. Remote. Sens. 8 (7) (2016)
Yanjun Su, Qinghua Guo, Qin Ma, Wenkai Li
SRTM DEM Correction in Vegetated Mountain Areas through the Integration of Spaceborne LiDAR, Airborne LiDAR, and Optical Imagery. Remote. Sens. 7 (9) (2015)
Bo Wan, Qinghua Guo, Fang Fang, Yanjun Su, Run Wang
Mapping US Urban Extents from MODIS Data Using One-Class Classification Method. Remote. Sens. 7 (8) (2015)
Yuan Zhou, Jin Chen, Qinghua Guo, Ruyin Cao, Xiaolin Zhu
Restoration of Information Obscured by Mountainous Shadows Through Landsat TM/ETM+ Images Without the Use of DEM Data: A New Method. IEEE Trans. Geosci. Remote. Sens. 52 (1) (2014)
Wenkai Li, Qinghua Guo
A New Accuracy Assessment Method for One-Class Remote Sensing Classification. IEEE Trans. Geosci. Remote. Sens. 52 (8) (2014)
Paul J. Doherty, Qinghua Guo, Wenkai Li, Jared Doke
Space-time analyses for forecasting future incident occurrence: a case study from Yosemite National Park using the presence and background learning algorithm. Int. J. Geogr. Inf. Sci. 28 (5) (2014)
Marek K. Jakubowski, Wenkai Li, Qinghua Guo, Maggi Kelly
Delineating Individual Trees from Lidar Data: A Comparison of Vector- and Raster-based Segmentation Approaches. Remote. Sens. 5 (9) (2013)
Yu Liu, Qinghua Guo, Yuan Tian
A software framework for classification models of geographical data. Comput. Geosci. 42 (2012)
Wenkai Li, Qinghua Guo, Charles Elkan
A Positive and Unlabeled Learning Algorithm for One-Class Classification of Remote-Sensing Data. IEEE Trans. Geosci. Remote. Sens. 49 (2) (2011)
Qinghua Guo, W. Li, Yu Liu, D. Tong
Predicting potential distributions of geographic events using one-class data: concepts and methods. Int. J. Geogr. Inf. Sci. 25 (10) (2011)
Paul J. Doherty, Qinghua Guo, Yu Liu, John Wieczorek, Jared Doke
Georeferencing Incidents from Locality Descriptions and its Applications: a Case Study from Yosemite National Park Search and Rescue. Trans. GIS 15 (6) (2011)
Yu Liu, Michael F. Goodchild, Qinghua Guo, Y. Tian, L. Wu
Towards a General Field model and its order in GIS. Int. J. Geogr. Inf. Sci. 22 (6) (2008)
Qinghua Guo, Yu Liu, John Wieczorek
Georeferencing locality descriptions and computing associated uncertainty using a probabilistic approach. Int. J. Geogr. Inf. Sci. 22 (10) (2008)
Maggi Kelly, Qinghua Guo, Desheng Liu, David Shaari
Modeling the risk for a new invasive forest disease in the United States: An evaluation of five environmental niche models. Comput. Environ. Urban Syst. 31 (6) (2007)
John Wieczorek, Qinghua Guo, Robert Hijmans
The point-radius method for georeferencing locality descriptions and calculating associated uncertainty. Int. J. Geogr. Inf. Sci. 18 (8) (2004)
Qinghua Guo, Maggi Kelly, Catherine Graham
Predicting distribution of a new forest disease using one-class SVMs. ICDM (2003)