Jian Ji

Orcid: 0000-0002-7616-2685

According to our database1, Jian Ji authored at least 28 papers between 2005 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
A QGIS framework for physically-based probabilistic modelling of landslide susceptibility: QGIS-FORM.
Environ. Model. Softw., 2025

2024
Remote Sensing Image Semantic Segmentation Based on Cascaded Transformer.
IEEE Trans. Artif. Intell., August, 2024

Masked Topology Convolutional Network for Classification and Segmentation of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024

Accelerating Cross-Scene Co-Seismic Landslide Detection Through Progressive Transfer Learning and Lightweight Deep Learning Strategies.
IEEE Trans. Geosci. Remote. Sens., 2024

Swin-CDSA: The Semantic Segmentation of Remote Sensing Images Based on Cascaded Depthwise Convolution and Spatial Attention Mechanism.
IEEE Geosci. Remote. Sens. Lett., 2024

2023
Semantic Segmentation Based on Spatial Pyramid Pooling and Multilayer Feature Fusion.
IEEE Trans. Cogn. Dev. Syst., September, 2023

RETAD: Vehicle Trajectory Anomaly Detection Based on Reconstruction Error.
Int. J. Data Warehous. Min., January, 2023

DSViT: Dynamically Scalable Vision Transformer for Remote Sensing Image Segmentation and Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Hyperspectral Image Classification Based on Unsupervised Regularization.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

2021
Attention and Feature Fusion SSD for Remote Sensing Object Detection.
IEEE Trans. Instrum. Meas., 2021

Encoder-Decoder With Cascaded CRFs for Semantic Segmentation.
IEEE Trans. Circuits Syst. Video Technol., 2021

Parallel Fully Convolutional Network for Semantic Segmentation.
IEEE Access, 2021

2020
Semantic Image Segmentation With Propagating Deep Aggregation.
IEEE Trans. Instrum. Meas., 2020

Image patch prior learning based on random neighbourhood resampling for image denoising.
IET Image Process., 2020

2019
The network structure of Chinese finance market through the method of complex network and random matrix theory.
Concurr. Comput. Pract. Exp., 2019

A Construction Approach to Prediction Intervals Based on Bootstrap and Deep Belief Network.
IEEE Access, 2019

Image De-noising by an Effective SURE-Based Weighted Bilateral Filtering.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

2018
Histogram-based perceptual hash algorithm for synthetic aperture radar image segmentation.
J. Electronic Imaging, 2018

Generalised non-locally centralised image de-noising using sparse dictionary.
IET Image Process., 2018

Boosting Sparsity-Induced Autoencoder: A Novel Sparse Feature Ensemble Learning for Image Classification.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

2017
New Observations on the Application of LS-SVM in Slope System Reliability Analysis.
J. Comput. Civ. Eng., 2017

2015
Synthetic aperture radar image despeckling based on adaptive iterative risk estimator.
J. Electronic Imaging, 2015

Sparse Representation with Regularization Term for Face Recognition.
Proceedings of the Computer Vision - CCF Chinese Conference, 2015

2014
A Robust Nonlocal Fuzzy Clustering Algorithm With Between-Cluster Separation Measure for SAR Image Segmentation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

2006
Robust ICA Neural Network and Application on Synthetic Aperture Radar (SAR) Image Analysis.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Speckle Reduction of Polarimetric SAR Images Based on Neural ICA.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

A New Method for Compression of SAR Imagery Based on MARMA Model.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006

2005
The SAR Image Compression with Projection Pursuit Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005


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