Dehui Zhu

Orcid: 0000-0003-1482-4433

According to our database1, Dehui Zhu authored at least 13 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
Learning Single Spectral Abundance for Hyperspectral Subpixel Target Detection.
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

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
Two-Stream Convolutional Networks for Hyperspectral Target Detection.
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


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