郑鹏根

研究方向：SAR成像与目标识别、遥感图像解译、雷达电子对抗、图像/视频处理、信号处理、机器学习

办公邮箱：zhengpg@gpnu.edu.cn

个人简介：

郑鹏根，男，工学博士，广东技术师范大学计算机科学学院专任教师；主要从事合成孔径雷达成像与目标识别、雷达电子对抗、雷达遥感等方向的研究，作为核心骨干成员参与国家级项目4项（部委级纵向项目2项、横向项目2项），部分研究成果发表于《Signal Processing》、《IEEE Signal Processing Letters》和《IEEE TGRS》等国际权威刊物，同时担任《IEEE SPL》和《IEEE GRSL》等期刊的审稿人；曾获“广东省优秀学生（研究生阶段）”、“BICS国际会议最佳海报论文”等奖项。

教育背景：中山大学  信息与通信工程  博士

代表性科研项目：

1. 国家自然科学基金委员会, 面上项目, 62072122, 多模态图像感知及其特征数据融合安全性关键技术研究, 2021-01-01 至 2024-12-31, 57万元, 参与 

代表性论文:

1. Zheng P, Zhou Y, Wang W, et al. SAR target recognition through adaptive kernel sparse representation model based on local contrast perception[J]. Signal Processing, 2024, 223: 109558.

2. Zheng P, Zhou Y, Wang W, et al. Target recognition in SAR images via multi-scale perception and denoising representation[J]. IEEE Signal Processing Letters, 2023, 30: 1352-1356.

3. Zheng P, Li X, Yan J, et al. A Convolutional Neural Network Using Multi-Level Feature Projection for SAR Vehicle Recognition[C]//2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). IEEE, 2024: 1-5.

4. Zhan J, Zhao H, Zheng P, et al. Salient superpixel visual tracking with graph model and iterative segmentation[J]. Cognitive Computation, 2021, 13(4): 821-832.

5. Zheng P, Zhao H, Zhan J, et al. Incremental learning-based visual tracking with weighted discriminative dictionaries[J]. International Journal of Advanced Robotic Systems, 2019, 16(6): 1729881419890155.

6. Zheng P, Zhan J, Zhao H, et al. Discriminative Visual Tracking Using Multi-feature and Adaptive Dictionary Learning[C]//Pattern Recognition and Computer Vision: First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part IV 1. Springer International Publishing, 2018: 221-232.

7. Zheng P, Zhan J, Zhao H, et al. Robust Visual Tracking via Sparse Feature Selection and Weight Dictionary Update[C]//Advances in Brain Inspired Cognitive Systems: 9th International Conference, BICS 2018, Xi'an, China, July 7-8, 2018, Proceedings 9. Springer International Publishing, 2018: 484-494.