Hui Li

According to our database, Hui Li authored at least 30 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Urban nighttime aerosol optical depth retrieval methods from SDGSAT-1 glimmer data.

Yichen Jiang, Yunwei Tang, Linhai Jing, Charles Galdies, Hui Li, Lin Yan, Haifeng Ding, Qiyuan Xie, Changyong Dou

Int. J. Digit. Earth, December, 2024

Using time-series imagery and 3DLSTM model to classify individual tree species.

Caiyan Chen, Linhai Jing, Hui Li, Yunwei Tang, Fulong Chen, Bingxiang Tan

Int. J. Digit. Earth, December, 2024

A Comprehensive Assessment of the Pansharpening of the Nighttime Light Imagery of the Glimmer Imager of the Sustainable Development Science Satellite 1.

Hui Li, Linhai Jing, Changyong Dou, Haifeng Ding

Remote. Sens., January, 2024

Individual Tree Crown Delineation Based on Deep Learning for Arid Areas Using High-Resolution Satellite Imagery.

Jinzhuang Shi, Hui Li, Yuanyuan Lin, Linhai Jing, Kongwen Zhang

Proceedings of the IGARSS 2024, 2024

A Method for Updating Individual Tree Species Samples Based on Different Images.

Caiyan Chen, Linhai Jing, Fulong Chen, Hui Li, Baoxin Hu

Proceedings of the IGARSS 2024, 2024

2023

Individual Tree Species Identification Based on a Combination of Deep Learning and Traditional Features.

Caiyan Chen, Linhai Jing, Hui Li, Yunwei Tang, Fulong Chen

Remote. Sens., May, 2023

2022

Individual Tree Species Classification Based on Convolutional Neural Networks and Multitemporal High-Resolution Remote Sensing Images.

Xianfei Guo, Hui Li, Linhai Jing, Ping Wang

Sensors, 2022

Individual Tree Species Classification Based on a Hierarchical Convolutional Neural Network and Multitemporal Google Earth Images.

Zhonglu Lei, Hui Li, Jie Zhao, Linhai Jing, Yunwei Tang, Hongkun Wang

Remote. Sens., 2022

2021

An Image Registration Method Using Deep Residual Network Features for Multisource High-Resolution Remote Sensing Images.

Xin Zhao, Hui Li, Ping Wang, Linhai Jing

Remote. Sens., 2021

Tree Species Classification of Forest Stands Using Multisource Remote Sensing Data.

Haoming Wan, Yunwei Tang, Linhai Jing, Hui Li, Fang Qiu, Wenjin Wu

Remote. Sens., 2021

2020

An Image Registration Method for Multisource High-Resolution Remote Sensing Images for Earthquake Disaster Assessment.

Xin Zhao, Hui Li, Ping Wang, Linhai Jing

Sensors, 2020

A New Individual Tree Crown Delineation Method for High Resolution Multispectral Imagery.

Lin Qiu, Linhai Jing, Baoxin Hu, Hui Li, Yunwei Tang

Remote. Sens., 2020

2018

An Improved Pansharpening Method for Misaligned Panchromatic and Multispectral Data.

Hui Li, Linhai Jing, Yunwei Tang, Haifeng Ding

Sensors, 2018

An Image Fusion Method Based on Image Segmentation for High-Resolution Remotely-Sensed Imagery.

Hui Li, Linhai Jing, Yunwei Tang, Liming Wang

Remote. Sens., 2018

Improvement of MRA-Based Pansharpening Methods Through the Considerasion of Mixed Pixels.

Hui Li, Linhai Jing

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

Improvement of a Pansharpening Method Taking Into Account Haze.

Hui Li, Linhai Jing

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Assessment of Pansharpening Methods Applied to WorldView-2 Imagery Fusion.

Hui Li, Linhai Jing, Yunwei Tang

Sensors, 2017

A Novel Unsupervised Segmentation Quality Evaluation Method for Remote Sensing Images.

Han Gao, Yunwei Tang, Linhai Jing, Hui Li, Haifeng Ding

Sensors, 2017

2016

Bamboo Classification Using WorldView-2 Imagery of Giant Panda Habitat in a Large Shaded Area in Wolong, Sichuan Province, China.

Yunwei Tang, Linhai Jing, Hui Li, Qingjie Liu, Qi Yan, Xiuxia Li

Sensors, 2016

Improved Pansharpening with Un-Mixing of Mixed MS Sub-Pixels near Boundaries between Vegetation and Non-Vegetation Objects.

Hui Li, Linhai Jing, Liming Wang, Qiuming Cheng

Remote. Sens., 2016

A novel image-fusion method based on the un-mixing of mixed MS sub-pixels regarding high-resolution DSM.

Hui Li, Linhai Jing, Zhongchang Sun, Junjie Li, Ru Xu, Yunwei Tang, Fulong Chen

Int. J. Digit. Earth, 2016

A multiple-point spatially weighted k-NN method for object-based classification.

Yunwei Tang, Linhai Jing, Hui Li, Peter M. Atkinson

Int. J. Appl. Earth Obs. Geoinformation, 2016

Research on automatic detection of seismic landslides information.

Qi Yan, Hui Li, Linhai Jing, Wenyan Ge, Haifeng Ding, Yunwei Tang, Kongwen Zhang

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

AN improved dark-pixel subtraction method and its application in a pansharpening method taking into accout haze.

Hui Li, Linhai Jing, Zhongchang Sun, Liming Wang, Qi Yan

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015

Digital Elevation Data Fusion Using Multiple-Point Geostatistical Simulation.

Yunwei Tang, Jingxiong Zhang, Linhai Jing, Hui Li

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Assessment of pan-sharpening methods applied to WorldView-2 image fusion.

Hui Li, Linhai Jing, Yunwei Tang, Qingjie Liu, Haifeng Ding, Zhongchang Sun, Yu Chen

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

A new region growing-based segmentation method for high resolution remote sensing imagery.

Xiuxia Li, Linhai Jing, Qizhong Lin, Hui Li, Ru Xu, Yunwei Tang, Haifeng Ding, Qingjie Liu

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014

A multiple-point geostatistical method for digital elevation models conflation.

Yunwei Tang, Jingxiong Zhang, Hui Li, Haifeng Ding, Qingjie Liu, Linhai Jing

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

A novel multi-resolution segmentation algorithm for highresolution remote sensing imagery based on minimum spanning tree and minimum heterogeneity criterion.

Hui Li, Yunwei Tang, Qingjie Liu, Haifeng Ding, Linhai Jing, Qizhong Lin

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013

Application of remote sensing for investigating mining geological hazards.

Qinjun Wang, Huadong Guo, Yu Chen, Qizhong Lin, Hui Li

Int. J. Digit. Earth, 2013