Dong Zhao
Orcid: 0000-0003-2439-6815Affiliations:
- Wuxi University, China
- Xidian University, School of Physics and Optoelectronic Engineering, Xi'an, China (PhD 2020)
- National Institute of Informatics, Digital Content and Media Sciences Research Division, Tokyo, Japan (2019-2020)
According to our database1,
Dong Zhao authored at least 24 papers
between 2018 and 2026.
Collaborative distances:
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Bibliography
2026
Hyperspectral Anomaly Detection Based on Adaptive Taylor Decomposition and Polynomial Kernel Differential Fusion Network.
IEEE Signal Process. Lett., 2026
DFBSNet: Dual frequency-domain branch fusion and selection network for hyperspectral anomaly detection.
Pattern Recognit., 2026
Pattern Recognit., 2026
DSFNet: Dual-stream spatial-spectral fusion network for hyperspectral anomaly detection.
Digit. Signal Process., 2026
TIPSST: Transformer-based hyperspectral object tracking with illumination prompts and spatial-spectral-temporal context.
Appl. Soft Comput., 2026
2025
IEEE Trans. Geosci. Remote. Sens., 2025
SRTE-Net: Spectral-Spatial Similarity Reduction and Reorganized Texture Encoding for Hyperspectral Video Tracking.
IEEE Signal Process. Lett., 2025
Hyperspectral video object tracking with cross-modal spectral complementary and memory prompt network.
Knowl. Based Syst., 2025
SASU-Net: Hyperspectral video tracker based on spectral adaptive aggregation weighting and scale updating.
Expert Syst. Appl., 2025
Hyperspectral anomaly detection via cascaded convolutional autoencoders with adaptive pixel-level attention.
Expert Syst. Appl., 2025
Int. J. Appl. Earth Obs. Geoinformation, 2025
2024
Enhancing Hyperspectral Anomaly Detection with a Novel Differential Network Approach for Precision and Robust Background Suppression.
Remote. Sens., February, 2024
IEEE Signal Process. Lett., 2024
A light CNN based on residual learning and background estimation for hyperspectral anomaly detection.
Int. J. Appl. Earth Obs. Geoinformation, 2024
2023
GOMT: Multispectral video tracking based on genetic optimization and multi-features integration.
IET Image Process., April, 2023
Hyperspectral Video Tracker Based on Spectral Deviation Reduction and a Double Siamese Network.
Remote. Sens., March, 2023
Hyperspectral video target tracking based on pixel-wise spectral matching reduction and deep spectral cascading texture features.
Signal Process., 2023
An ISAR and Visible Image Fusion Algorithm Based on Adaptive Guided Multi-Layer Side Window Box Filter Decomposition.
Remote. Sens., 2023
DSP-Net: A Dynamic Spectral-Spatial Joint Perception Network for Hyperspectral Target Tracking.
IEEE Geosci. Remote. Sens. Lett., 2023
2022
Hyperspectral Video Target Tracking Based on Deep Edge Convolution Feature and Improved Context Filter.
Remote. Sens., December, 2022
Hyperspectral Video Target Tracking Based on Deep Features with Spectral Matching Reduction and Adaptive Scale 3D Hog Features.
Remote. Sens., December, 2022
2021
J. Real Time Image Process., 2021
2020
Remote. Sens., 2020
2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018