Dehui Zhu
Orcid: 0000-0003-1482-4433Affiliations:
- National University of Defense Technology, College of Electrical Science and Technology, National Key Laboratory of Automatic Target Recognition, Changsha, China
- Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan, China (PhD 2023)
According to our database1,
Dehui Zhu
authored at least 17 papers
between 2019 and 2025.
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Bibliography
2025
Nearshore Underwater Target Detection Meets UAV-borne Hyperspectral Remote Sensing: A Novel Hybrid-level Contrastive Learning Framework and Benchmark Dataset.
CoRR, February, 2025
High-Resolution Remote Sensing Change Detection With Edge-Guided Feature Enhancement.
IEEE Geosci. Remote. Sens. Lett., 2025
Dive into Aerial Remote Sensing Underwater Depth Estimation with Hyperspectral Imagery.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
IEEE Trans. Neural Networks Learn. Syst., July, 2024
Weighted Discriminative Collaborative Competitive Representation With Global Dictionary for Hyperspectral Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2024
Detecting Nearshore Underwater Targets With Hyperspectral Nonlinear Unmixing Autoencoder.
IEEE Trans. Geosci. Remote. Sens., 2024
Global Overcomplete Dictionary-Based Sparse and Nonnegative Collaborative Representation for Hyperspectral Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2024
Attention-based Sparse and Collaborative Spectral Abundance Learning for Hyperspectral Subpixel Target Detection.
Neural Networks, 2024
2023
Target Detection With Spatial-Spectral Adaptive Sample Generation and Deep Metric Learning for Hyperspectral Imagery.
IEEE Trans. Multim., 2023
Collaborative-guided spectral abundance learning with bilinear mixing model for hyperspectral subpixel target detection.
Neural Networks, 2023
2022
Spatial-Spectral Joint Reconstruction With Interband Correlation for Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens., 2022
2021
IEEE Trans. Geosci. Remote. Sens., 2021
Single-Spectrum-Driven Binary-Class Sparse Representation Target Detector for Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens., 2021
EDLAD: An Encoder-Decoder Long Short-Term Memory Network-Based Anomaly Detector for Hyperspectral Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
How to Construct a Deep Network-Based Hyperspectral Target Detector? - A LSTM Inspired Method.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2019
Target Dictionary Construction-Based Sparse Representation Hyperspectral Target Detection Methods.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
Binary-Class Collaborative Representation for Target Detection in Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett., 2019