Ji Zhao
Orcid: 0000-0001-9039-2789Affiliations:
- China University of Geosciences, School of Computer Science, Wuhan, China
- Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, China (PhD)
According to our database1,
Ji Zhao
authored at least 34 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
A Terrain Feature Guided-Diffusion Model for Void Filling of Digital Elevation Models.
Proceedings of the IGARSS 2024, 2024
Proceedings of the IGARSS 2024, 2024
Unconditional Image Thresholding Approach of Optical and Sar Data for Large-Scale Flood Mapping.
Proceedings of the IGARSS 2024, 2024
2023
Multi-temporal urban semantic understanding based on GF-2 remote sensing imagery: from tri-temporal datasets to multi-task mapping.
Int. J. Digit. Earth, December, 2023
Cross-resolution national-scale land-cover mapping based on noisy label learning: A case study of China.
Int. J. Appl. Earth Obs. Geoinformation, April, 2023
Fully Convolutional Spectral-Spatial Fusion Network Integrating Supervised Contrastive Learning for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
2022
Land-Use/Land-Cover Change Detection Based on Class-Prior Object-Oriented Conditional Random Field Framework for High Spatial Resolution Remote Sensing Imagery.
IEEE Trans. Geosci. Remote. Sens., 2022
SPNet: Spectral Patching End-to-End Classification Network for UAV-Borne Hyperspectral Imagery With High Spatial and Spectral Resolutions.
IEEE Trans. Geosci. Remote. Sens., 2022
Mapping of Small Water Bodies with Integrated Spatial Information for Time Series Images of Optical Remote Sensing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
An Analysis of the Work Resumption in China under the COVID-19 Epidemic Based on Night Time Lights Data.
ISPRS Int. J. Geo Inf., 2021
2020
Spectral-Spatial Classification Integrating Band Selection for Hyperspectral Imagery With Severe Noise Bands.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
S3CRF: Sparse Spatial-Spectral Conditional Random Field Target Detection Framework for Airborne Hyperspectral Data.
IEEE Access, 2020
2019
IEEE Trans. Geosci. Remote. Sens., 2019
Self-Training Classification Framework with Spatial-Contextual Information for Local Climate Zones.
Remote. Sens., 2019
Spatial-Spectral Fusion Based on Conditional Random Fields for the Fine Classification of Crops in UAV-Borne Hyperspectral Remote Sensing Imagery.
Remote. Sens., 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
SPNet: A Spectral Patching Network for End-To-End Hyperspectral Image Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Unsupervised Change Detection Based on Hybrid Conditional Random Field Model for High Spatial Resolution Remote Sensing Imagery.
IEEE Trans. Geosci. Remote. Sens., 2018
Remote. Sens., 2018
Fusion of Multi-Baseline and Multi-Orbit InSAR DEMs with Terrain Feature-Guided Filter.
Remote. Sens., 2018
2017
Spatial-Spectral-Emissivity Land-Cover Classification Fusing Visible and Thermal Infrared Hyperspectral Imagery.
Remote. Sens., 2017
Optimal Decision Fusion for Urban Land-Use/Land-Cover Classification Based on Adaptive Differential Evolution Using Hyperspectral and LiDAR Data.
Remote. Sens., 2017
Change detection based on structural conditional random field framework for high spatial resolution remote sensing imagery.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Scene semantic classification based on scale invariance convolutional neural networks.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
2016
High-Resolution Image Classification Integrating Spectral-Spatial-Location Cues by Conditional Random Fields.
IEEE Trans. Image Process., 2016
Change Detection Based on a Multifeature Probabilistic Ensemble Conditional Random Field Model for High Spatial Resolution Remote Sensing Imagery.
IEEE Geosci. Remote. Sens. Lett., 2016
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Unsupervised change detection model based on hybrid conditional random field for high spatial resolution remote sensing imagery.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2015
Detail-Preserving Smoothing Classifier Based on Conditional Random Fields for High Spatial Resolution Remote Sensing Imagery.
IEEE Trans. Geosci. Remote. Sens., 2015
Change Detection Based on Pulse-Coupled Neural Networks and the NMI Feature for High Spatial Resolution Remote Sensing Imagery.
IEEE Geosci. Remote. Sens. Lett., 2015
Sub-Pixel Mapping Based on Conditional Random Fields for Hyperspectral Remote Sensing Imagery.
IEEE J. Sel. Top. Signal Process., 2015
Spectral-spatial conditional random field classifier with location cues for high spatial resolution imagery.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
Unsupervised change detection based on conditional random fields and texture feature for high resolution remote sensing imagery.
Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015
2014
A Hybrid Object-Oriented Conditional Random Field Classification Framework for High Spatial Resolution Remote Sensing Imagery.
IEEE Trans. Geosci. Remote. Sens., 2014