Xue Wang

Orcid: 0000-0002-6999-1362

Affiliations:
  • East China Normal University, School of Geographic Sciences, Shanghai, China
  • China University of Mining and Technology, Key Laboratory for Land Environment and Disaster Monitoring of NASG, Xuzhou, China


According to our database1, Xue Wang authored at least 25 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
Change detection on multi-sensor imagery using mixed interleaved group convolutional network.
Eng. Appl. Artif. Intell., 2024

A semi-analytical approach for estimating inland water inherent optical properties and chlorophyll a using airborne hyperspectral imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2024

2023
Hyperspectral anomaly detection based on variational background inference and generative adversarial network.
Pattern Recognit., November, 2023

Prediction of soil organic matter by Kubelka-Munk based airborne hyperspectral moisture removal model.
Int. J. Appl. Earth Obs. Geoinformation, November, 2023

Double U-Net (W-Net): A change detection network with two heads for remote sensing imagery.
Int. J. Appl. Earth Obs. Geoinformation, August, 2023

A semi-analytical radiative transfer model for explaining soil spectral features.
Int. J. Appl. Earth Obs. Geoinformation, April, 2023

Hyperspectral Feature Selection for SOM Prediction Using Deep Reinforcement Learning and Multiple Subset Evaluation Strategies.
Remote. Sens., January, 2023

PASSNet: A Spatial-Spectral Feature Extraction Network With Patch Attention Module for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2023

A capsule-vectored neural network for hyperspectral image classification.
Knowl. Based Syst., 2023

2022
Xuzhou HYSPEX dataset.
Dataset, May, 2022

A Unified Multiscale Learning Framework for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

Radiometric Cross-Calibration of the ZY1-02D Hyperspectral Imager Using the GF-5 AHSI Imager.
IEEE Trans. Geosci. Remote. Sens., 2022

Active Deep Feature Extraction for Hyperspectral Image Classification Based on Adversarial Learning.
IEEE Geosci. Remote. Sens. Lett., 2022

A high-resolution feature difference attention network for the application of building change detection.
Int. J. Appl. Earth Obs. Geoinformation, 2022

2021
Vicarious Calibration for the AHSI Instrument of Gaofen-5 With Reference to the CRCS Dunhuang Test Site.
IEEE Trans. Geosci. Remote. Sens., 2021

Spatiotemporal Monitoring of a Grassland Ecosystem and Its Net Primary Production Using Google Earth Engine: A Case Study of Inner Mongolia from 2000 to 2020.
Remote. Sens., 2021

2020
CVA<sup>2</sup>E: A Conditional Variational Autoencoder With an Adversarial Training Process for Hyperspectral Imagery Classification.
IEEE Trans. Geosci. Remote. Sens., 2020

Retrieval of Soil Moisture Content Based on a Modified Hapke Photometric Model: A Novel Method Applied to Laboratory Hyperspectral and Sentinel-2 MSI Data.
Remote. Sens., 2020

A Deep Siamese Network with Hybrid Convolutional Feature Extraction Module for Change Detection Based on Multi-sensor Remote Sensing Images.
Remote. Sens., 2020

Assessment of Heavy Metal Pollution in Agricultural Soil Around a Gold Mine Area in Yitong County.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Caps-TripleGAN: GAN-Assisted CapsNet for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2019

Object-Based Change Detection Using Multiple Classifiers and Multi-Scale Uncertainty Analysis.
Remote. Sens., 2019

A Novel Tri-Training Technique for the Semi-Supervised Classification of Hyperspectral Images Based on Regularized Local Discriminant Embedding Feature Extraction.
Remote. Sens., 2019

Estimation of Maize Yield in Yitong County based on Multi-source Remote Sensing Data from 2007 to 2017.
Proceedings of the 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2019

2016
Access the spatiotemporal variation of Net Primary Productivity in China using MODIS and meteorology data.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016


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