Hebing Zhang

Orcid: 0000-0003-2581-621X

According to our database1, Hebing Zhang authored at least 13 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Study on intentional control strategy of COVID-19.
J. Intell. Fuzzy Syst., January, 2024

A Novel Remote Sensing Spatiotemporal Data Fusion Framework Based on the Combination of Deep-Learning Downscaling and Traditional Fusion Algorithm.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023
The Compound Effects of Highway Reconstruction and Climate Change on Vegetation Activity over the Qinghai Tibet Plateau: The G318 Highway as a Case Study.
Remote. Sens., December, 2023

Inequalities and Stability of Stochastic Fuzzy Delayed Cohen-Grossberg Neural Networks.
IEEE Access, 2023

2022
A Novel Workflow for Crop Type Mapping with a Time Series of Synthetic Aperture Radar and Optical Images in the Google Earth Engine.
Remote. Sens., 2022

Crop Identification Based on Multi-Temporal Active and Passive Remote Sensing Images.
ISPRS Int. J. Geo Inf., 2022

Monitoring the Spatio-Temporal Changes of Non-Cultivated Land via Long-Time Series Remote Sensing Images in Xinghua.
IEEE Access, 2022

2021
Ecological Security Assessment Based on Remote Sensing and Landscape Ecology Model.
J. Sensors, 2021

2020
Evaluation of Footprint Horizontal Geolocation Accuracy of Spaceborne Full-Waveform LiDAR Based on Digital Surface Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

2019
Power Pylon Reconstruction Based on Abstract Template Structures Using Airborne LiDAR Data.
Remote. Sens., 2019

2018
Semi-supervised classification framework of hyperspectral images based on the fusion evidence entropy.
Multim. Tools Appl., 2018

2017
Research on Emergence of Complex Adaptive System Driven by Individual Rules.
Proceedings of the Fuzzy Systems and Data Mining III, 2017

2016
Research on Semi-Supervised Learning for Hyperspectral Remote Sensing Imaging Classification Base on Confidence Entropy.
Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016


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