Xin Zhang
Orcid: 0000-0001-7844-593XAffiliations:
- Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Key Laboratory of Digital Earth Science, Beijing, China (since 2014)
- Beijing Normal University, Faculty of Geographical Science
According to our database1,
Xin Zhang
authored at least 26 papers
between 2011 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
A Generic Self-Supervised Learning (SSL) Framework for Representation Learning from Spectral-Spatial Features of Unlabeled Remote Sensing Imagery.
Remote. Sens., November, 2023
CXR-Net: A Multitask Deep Learning Network for Explainable and Accurate Diagnosis of COVID-19 Pneumonia From Chest X-Ray Images.
IEEE J. Biomed. Health Informatics, February, 2023
Remote. Sens., January, 2023
sMRI-PatchNet: A novel explainable patch-based deep learning network for Alzheimer's disease diagnosis and discriminative atrophy localisation with Structural MRI.
CoRR, 2023
sMRI-PatchNet: A Novel Efficient Explainable Patch-Based Deep Learning Network for Alzheimer's Disease Diagnosis With Structural MRI.
IEEE Access, 2023
2022
An Explainable 3D Residual Self-Attention Deep Neural Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI.
IEEE J. Biomed. Health Informatics, 2022
IEEE Trans. Geosci. Remote. Sens., 2022
CoRR, 2022
IEEE Access, 2022
2021
Developing Long Time Series 1-km Land Cover Maps From 5-km AVHRR Data Using a Super-Resolution Method.
IEEE Trans. Geosci. Remote. Sens., 2021
Land Use and Land Cover Mapping Using RapidEye Imagery Based on a Novel Band Attention Deep Learning Method in the Three Gorges Reservoir Area.
Remote. Sens., 2021
CXR-Net: An Encoder-Decoder-Encoder Multitask Deep Neural Network for Explainable and Accurate Diagnosis of COVID-19 pneumonia with Chest X-ray Images.
CoRR, 2021
A Gans-Based Deep Learning Framework for Automatic Subsurface Object Recognition From Ground Penetrating Radar Data.
IEEE Access, 2021
2020
How Well Do Deep Learning-Based Methods for Land Cover Classification and Object Detection Perform on High Resolution Remote Sensing Imagery?
Remote. Sens., 2020
Mapping Forested Wetland Inundation in the Delmarva Peninsula, USA Using Deep Convolutional Neural Networks.
Remote. Sens., 2020
2019
A Deep Learning-Based Approach for Automated Yellow Rust Disease Detection from High-Resolution Hyperspectral UAV Images.
Remote. Sens., 2019
Long Time Series Land Cover Classification in China from 1982 to 2015 Based on Bi-LSTM Deep Learning.
Remote. Sens., 2019
Efficient Identification of Corn Cultivation Area with Multitemporal Synthetic Aperture Radar and Optical Images in the Google Earth Engine Cloud Platform.
Remote. Sens., 2019
2018
Mapping up-to-Date Paddy Rice Extent at 10 M Resolution in China through the Integration of Optical and Synthetic Aperture Radar Images.
Remote. Sens., 2018
Land use mapping in the Three Gorges Reservoir Area based on semantic segmentation deep learning method.
CoRR, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2016
Mapping Winter Wheat Biomass and Yield Using Time Series Data Blended from PROBA-V 100- and 300-m S1 Products.
Remote. Sens., 2016
Crop Mapping Using PROBA-V Time Series Data at the Yucheng and Hongxing Farm in China.
Remote. Sens., 2016
2013
Radioactive Quality Evaluation and Cross Validation of Data from the HJ-1A/B Satellites' CCD Sensors.
Sensors, 2013
The Global Land Surface Satellite (GLASS) Remote Sensing Data Processing System and Products.
Remote. Sens., 2013
2011
A method for the retrieval of aerosol optical thickness on CBERS data from top-of-atmosphere radiance.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011