Dong Zhao

Orcid: 0000-0003-2439-6815

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

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

A unified spatial-spectral-temporal network for hyperspectral object tracking.
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
CIGGAN: A Ground-Penetrating Radar Image Generation Method Based on Feature Fusion.
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

Multi-scale frequency-guided two-stream network for hyperspectral anomaly detection.
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

Local Curvature Optimization for Self-Supervised Image Restoration.
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
GPU fast restoration of non-uniform illumination images.
J. Real Time Image Process., 2021

2020
City-Scale Distance Sensing via Bispectral Light Extinction in Bad Weather.
Remote. Sens., 2020

2018
An Adaptation of Cnn for Small Target Detection in the Infrared.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018


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