邓承志

教授，博士，硕士生导师，博士生导师

2008年6月毕业于华中科技大学信息与通信工程专业，获工学博士学位。入选江西省百千万人才工程人选、江西省青年井冈学者，兼任江西省电子学会理事长、中国电工学研究会江西分会副理事长。

主要研究方向为：人工智能、机器视觉、遥感影像处理。主持国家自然科学基金项目2项、省重大研发专项项目1项、省重点研发计划项目2项（重点项目1项）、省自然科学基金项目4项（重点项目1项）。以第一作者（通讯作者）在《IEEE Transactions on Geoscience and Remote Sensing》《IEEE Transactions on Instrumentation and Measurement》等SCI期刊发表学术论文30余篇，授权知识产权20余件，获省技术发明二等奖1项、省高校科技成果三等奖2项。

联系邮箱：dengcz@juwp.edu.cn

主要承担课程：数字信号处理、数字图像处理等

代表性论文：

[1] Shaoquan Zhang, Jiajun Zheng, Yuyang Liu, Fan Li, Chengzhi Deng*, Antonio Plaza, Lianhui Liang, Zhi He, Shengqian Wang. Spatial Structural Priors for Sparse Unmixing of Remotely Sensed Hyperspectral Images[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025. vol. 18, pp. 27530-27548. (SCI, JCR-Q1，IF 5.3）

[2] Shaoquan Zhang, Yuyang Liu, Fan Li, Jiajun Zheng, Pengfei Lai, Chengzhi Deng*, Mengxiong Tang, Shengqian Wang. Robust spatially regularized sparse unmixing of hyperspectral remote sensing images with spectral library pruning [J]. Infrared Physics & Technology, 2025, 145:105697. (SCI, JCR-Q2，IF 3.4)

[3] Shaoquan Zhang, Jiajun Zheng, Pengfei Lai, Fan Li, Lianhui Liang, Antonio Plaza, Chengzhi Deng*, Shengqian Wang. Sparse Unmixing of Hyperspectral Images with Noise Reduction using Spatial Filtering [J]. IEEE Transactions on Instrumentation and Measurement, 2025, 74: 5500618. (SCI, JCR-Q1，IF 5.9)

[4] Jingjing Lu, Jun Zhang, Chao Wang, Chengzhi Deng*. Hyperspectral sparse fusion using adaptive total variation regularization and superpixel-based weighted nuclear norm [J]. Signal Processing, 2024, 220: 109449. (SCI, JCR-Q2，IF 3.4)

[5] Chengzhi Deng*, Yonggang Chen, Shaoquan Zhang, Fan Li, Pengfei Lai, Dingli Su, Min Hu, Shengqian Wang. Robust dual spatial weighted sparse unmixing for remotely sensed hyperspectral imagery, Remote Sensing, 2023, 15: 4056. (SCI, JCR- Q1, IF 4.1)

[6] Jun Wang, Chenchen Meng, Chengzhi Deng*, Yuanyun Wang. Learning convolutional self-attention module for unmanned aerial vehicle tracking [J]. Signal, Image and Video Processing, 2023, 17: 2323-2331. (SCI, JCR-Q3，IF 2.1)

[7] Shaoquan Zhang, Guorong Zhang, Fan Li, Chengzhi Deng*, Shengqian Wang, Antonio Plaza and Jun Li. Spectral-Spatial Hyperspectral Unmixing Using Nonnegative Matrix Factorization [J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-13. (SCI, JCR-Q1，IF 8.6)

[8] Mingxi Ma, Chenguang Xu, Jun Zhang, Shengqian Wang, Chengzhi Deng*, Yuanyun Wang. Hyperspectral sparse unmixing based on a novel adaptive total variation regularization [J]. Infrared Physics & Technology, 2022, 127: 104362. (SCI, JCR-Q2，IF 3.4)

[9] Fan Li, Shaoquan Zhang, Bingkun Liang, Chengzhi Deng*, Chenguang Xu, Shengqian Wang. Hyperspectral Sparse Unmixing with Spectral-Spatial Low-Rank Constraint [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 6119-6130. (SCI, JCR-Q1，IF 5.3)

[10] 张绍泉,黄志浩,邓承志*,汪胜前.光谱加权协同稀疏和全变差正则化高光谱图像解混. 电子学报, 2020, 48(12): 2453-2461. (EI)