Xiangli Nie
Orcid: 0000-0001-5208-4670
According to our database1,
Xiangli Nie
authored at least 23 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., December, 2024
Monocular 6-DoF Pose Estimation of Spacecrafts Utilizing Self-iterative Optimization and Motion Consistency.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2022
Incremental Learning With Open-Set Recognition for Remote Sensing Image Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE Trans. Cybern., 2022
Pattern Recognit. Lett., 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
Multi-View Feature Selection for PolSAR Image Classification via l₂, ₁ Sparsity Regularization and Manifold Regularization.
IEEE Trans. Image Process., 2021
Online Multiview Deep Forest for Remote Sensing Image Classification via Data Fusion.
IEEE Geosci. Remote. Sens. Lett., 2021
2020
Remote. Sens., 2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Supervised Polarimetric SAR Image Classification Using Tensor Local Discriminant Embedding.
IEEE Trans. Image Process., 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
2017
Local Discriminant Canonical Correlation Analysis for Supervised PolSAR Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2017
Neurocomputing, 2017
A new nonlocal TV-based variational model for SAR image despeckling based on the G<sup>0</sup> distribution.
Digit. Signal Process., 2017
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
2016
IEEE Trans. Image Process., 2016
IEEE Signal Process. Lett., 2016
2015
A Variational Model for PolSAR Data Speckle Reduction Based on the Wishart Distribution.
IEEE Trans. Image Process., 2015