Hui Li

Orcid: 0000-0002-3565-1773

Affiliations:
  • Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China


According to our database1, Hui Li authored at least 26 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2024
A Comprehensive Assessment of the Pansharpening of the Nighttime Light Imagery of the Glimmer Imager of the Sustainable Development Science Satellite 1.
Remote. Sens., January, 2024

2023
Individual Tree Species Identification Based on a Combination of Deep Learning and Traditional Features.
Remote. Sens., May, 2023

2022
Individual Tree Species Classification Based on Convolutional Neural Networks and Multitemporal High-Resolution Remote Sensing Images.
Sensors, 2022

Individual Tree Species Classification Based on a Hierarchical Convolutional Neural Network and Multitemporal Google Earth Images.
Remote. Sens., 2022

2021
An Image Registration Method Using Deep Residual Network Features for Multisource High-Resolution Remote Sensing Images.
Remote. Sens., 2021

Tree Species Classification of Forest Stands Using Multisource Remote Sensing Data.
Remote. Sens., 2021

2020
An Image Registration Method for Multisource High-Resolution Remote Sensing Images for Earthquake Disaster Assessment.
Sensors, 2020

A New Individual Tree Crown Delineation Method for High Resolution Multispectral Imagery.
Remote. Sens., 2020

2018
An Improved Pansharpening Method for Misaligned Panchromatic and Multispectral Data.
Sensors, 2018

An Image Fusion Method Based on Image Segmentation for High-Resolution Remotely-Sensed Imagery.
Remote. Sens., 2018

Improvement of MRA-Based Pansharpening Methods Through the Considerasion of Mixed Pixels.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Improvement of a Pansharpening Method Taking Into Account Haze.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Assessment of Pansharpening Methods Applied to WorldView-2 Imagery Fusion.
Sensors, 2017

A Novel Unsupervised Segmentation Quality Evaluation Method for Remote Sensing Images.
Sensors, 2017

2016
Bamboo Classification Using WorldView-2 Imagery of Giant Panda Habitat in a Large Shaded Area in Wolong, Sichuan Province, China.
Sensors, 2016

Improved Pansharpening with Un-Mixing of Mixed MS Sub-Pixels near Boundaries between Vegetation and Non-Vegetation Objects.
Remote. Sens., 2016

A novel image-fusion method based on the un-mixing of mixed MS sub-pixels regarding high-resolution DSM.
Int. J. Digit. Earth, 2016

A multiple-point spatially weighted k-NN method for object-based classification.
Int. J. Appl. Earth Obs. Geoinformation, 2016

Research on automatic detection of seismic landslides information.
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.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Digital Elevation Data Fusion Using Multiple-Point Geostatistical Simulation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Assessment of pan-sharpening methods applied to WorldView-2 image fusion.
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.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
A multiple-point geostatistical method for digital elevation models conflation.
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.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013
Application of remote sensing for investigating mining geological hazards.
Int. J. Digit. Earth, 2013


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