Jie Li
Orcid: 0000-0002-0728-9017Affiliations:
- Chinese Academy of Sciences, Key Laboratory of Technology in Geo-spatial Information Processing and Application System, China
- University of Chinese Academy of Sciences, School of Electronic, Electrical and Communication Engineering, Beijing, China
According to our database1,
Jie Li
authored at least 10 papers
between 2021 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
TADCG: A Novel Gridless Tomographic SAR Imaging Approach Based on the Alternate Descent Conditional Gradient Algorithm With Robustness and Efficiency.
IEEE Trans. Geosci. Remote. Sens., 2024
Morphology Regularization for TomoSAR in Urban Areas With Ultrahigh-Resolution SAR Images.
IEEE Trans. Geosci. Remote. Sens., 2024
A Noise-Robust Blind Deblurring Algorithm With Wavelet-Enhanced Diffusion Model for Optical Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
2023
A Multi-Channel Attention Network for SAR Interferograms Filtering Applied to TomoSAR.
Remote. Sens., September, 2023
An Unsupervised CNN-Based Multichannel Interferometric Phase Denoising Method Applied to TomoSAR Imaging.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
L-Hypersurface Based Parameters Selection in Composite Regularization Models With Application to SAR and TomoSAR Imaging.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
2022
Method of Range Ambiguity Suppression Combining Sparse Reconstruction and Matched Filter.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Reference-Based Multi-Level Features Fusion Deblurring Network for Optical Remote Sensing Images.
Remote. Sens., 2022
A CNN-Based Multichannel Interferometric Phase Denoising Method Applied to Tomosar Imaging.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
Azimuth Ambiguities Suppression for Multichannel SAR Imaging Based on $\boldsymbol{L_{2, q}}$ Regularization: Initial Results of Non-Sparse Scenario.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021