Qiang Li
Orcid: 0000-0002-2870-4101Affiliations:
- Northwestern Polytechnical University, Department of Applied Physics, Xi'an, China (since 2019)
- Chinese Academy of Sciences, Institute of Theoretical Physics, Beijing, China (since 2017)
- Harbin Institute of Technology, Department of Physics, China (since 2013)
According to our database1,
Qiang Li
authored at least 12 papers
between 2019 and 2023.
Collaborative distances:
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Bibliography
2023
2022
A heterogeneous double ensemble algorithm for soybean planting area extraction in Google Earth Engine.
Comput. Electron. Agric., 2022
A Multi-Level Synergistic Image Decomposition Algorithm for Remote Sensing Image Fusion.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
SMOTE-Based Weighted Deep Rotation Forest for the Imbalanced Hyperspectral Data Classification.
Remote. Sens., 2021
Semi-supervised rotation forest based on ensemble margin theory for the classification of hyperspectral image with limited training data.
Inf. Sci., 2021
Imbalanced Multi-Class Classification of Hyperspectral Image Based on Smote and Deep Rotation Forest.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Ensemble CNN with Enhanced Feature Subspaces for Imbalanced Hyperspectral Image Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Ensemble CNN Based on Pixel-Pair and Random Feature Selection for Hyperspectral Image Classification with Small-Size Training Set.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Two-Step Ensemble Based Class Noise Cleaning Method for Hyperspectral Image Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
Dynamic Synthetic Minority Over-Sampling Technique-Based Rotation Forest for the Classification of Imbalanced Hyperspectral Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019