NUAA-RSP
南京航空航天大学雷达信号处理毕辉课题组
Radar Signal Processing Group of NUAA

邓佳瑞介绍

发表时间:2022-02-24 20:37

在学期间的研究成果及论文

研究方向

  • SAR图像处理和应用

发表论文

  1. Hui Bi, Jiarui Deng, Tianwen Yang, Jian Wang, and Ling Wang, “CNN-based target detection and classifification when sparse SAR image dataset is available” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 6815-6826, 2021. (IF: 3.784)

  2. Hui Bi, Jiarui Deng, Liping Wang, Jin Yin, and Guoan Bi, “Lq-norm regularization based SAR imagefeature enhancement,” in International Radar Symposium (IRS2020), pp. 139-142, Warsaw, Poland, Oct. 5-8, 2020.

  3. Jiarui Deng, Zehao Liu, Jingjing Zhang, and Hui Bi, “CNN based target classifification framework basedon complex sparse SAR image: Initial result,” in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1-4, Kuala Lumpur, Malaysia, Jul. 17-22, 2022.

  4. Jiarui Deng, Hui Bi, Yanjie Yin, Xingmeng Lu, and Wei Liang, “Sparse SAR image based automatictarget recognition by YOLO network,” in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1-5, Brussels, Belgium, Jul. 11-16, 2021.

  5. Jie Yin, Hui Bi, Feng Tian, Ling Wang, Jiarui Deng, and Jingjing Zhang, “ Simulated calibrator basedpolarimetric weather radar external calibration,” in 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), pp. 1119-1123, Yantai, China, Oct.17-19, 2020.

  6. Jiarui Deng, Hui Bi, Jingjing Zhang, Zehao Liu, and Lingjuan Yu, “Amplitude-phase CNN based SAR target classifification via complex-valued sparse image,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022.(IF: 3.784

在审论文

  1. Chen Song, Jiarui Deng, Zehao Liu, Bingnan Wang, Yirong Wu, and Hui Bi. “Complex-valued sparse SAR image based target detection and classification,” Remote Sensing. (IF: 5.349)

专利

  1. 毕辉, 刘泽昊, 张晶晶, 邓佳瑞. 一种基于迁移学习的稀疏SAR目标分类方法. 专利受理号:202210341565.0

  2. 毕辉, 邓佳瑞, 张晶晶, 刘泽昊, 李国旭, 冯静. 一种基于三通道稀疏SAR图像数据的目标分类方法. 专利受理号:202210059372.6

  3. 毕辉, 邓佳瑞, 张晶晶, 刘泽昊. 一种基于稀疏SAR幅度-相位图像数据集的目标分类方法. 专利受理号:202210016812.X

  4. 毕辉, 邓佳瑞, 尹杰, 金双. 一种基于稀疏复图像的SAR目标识别算法. 专利受理号:202110307198.8

  5. 毕辉, 尹杰, 邓佳瑞. 基于模拟定标体的C波段极化气象雷达外定标算法. 专利受理号:202010031349.7

  6. 毕辉, 尹杰, 李昊, 邓佳瑞, 魏昭琦. 一种基于Ainsworth算法的气象雷达外定标方法. 专利受理号:202011548393.1

  7. 尹杰, 毕辉, 邓佳瑞, 杨添文, 汪玲. 一种基于模拟定标体的极化气象雷达外定标算法. 专利受理号:202010541608.0

获奖情况

比赛

  1. 2022南京航空航天大学第八届“互联网+”大学生创新创业大赛二等奖

  2. 2021江苏省航空航天领域科技创新挑战赛民用组 一等奖

  3. 2020第一届“砺剑杯”智能空天创新大赛 三等奖 (1/5)

奖学金

  1. 2021南京航空航天大学一等学业奖学金

  2. 2020南京航空航天大学一等学业奖学金

  3. 2020新生特别奖学金二等奖

荣誉

  1. 2020-2021南京航空航天大学三好研究生

科研项目情况

  1. 2020研究生实验室 (创新基地) 开放基金,三维四维雷达城市,参与




上一篇金双介绍
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