Ji Zhao

Orcid: 0000-0001-9039-2789

Affiliations:
  • 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 31 papers between 2014 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

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
Multi-Scale and Multi-Task Deep Learning Framework for Automatic Road Extraction.
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

Multi-Scale Enhanced Deep Network for Road Detection.
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

Aurora Image Classification Based on Multi-Feature Latent Dirichlet Allocation.
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

Feature extraction framework in class space for hyperspectral image classification.
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


  Loading...