任笑真
发布日期:2024-06-19 浏览次数:

任笑真,女,1984.04,博士,毕业于中国科学院研究生院,通信与信息系统专业。主要从事图像处理、深度学习等方向研究,发表学术论文30余篇,其中SCI检索16篇;申请发明专利6项,主持参与省部级以上项目9项。

联系邮箱:rxz235@163.com

招生学科:计算机科学技术、智能科学与技术、电子信息。

一、代表性论文与论著

1.Xiaozhen Ren, Yanwen Bai, Zihao Zhang, Wei Xu*, Lulu Tan. SEFRNet: A SAR Ship Target Detection Network with Effective Feature Representation, IEEE Sensors Journal, 2024, 24, 6, 8539-8550. (JCR1区)

2.Xiaozhen Ren*, Jing Cui, Yanwen Bai, Lulu Tan. Low-rank and patch-based method for enhanced sparse ISAR imaging. IEEE Sensors Journal, 2023, 23(9): 9560-9570. (JCR1区)

3.Xiaozhen Ren*, Yanwen Bai, Gang Liu, Ping Zhang. YOLO_Lite: An efficient lightweight network for SAR ship detection. Remote Sensing, 2023, 15: 3771. (JCR1区)

4.Xiaozhen Ren*, Haoyuan Song, Jing Cui, Lulu Tan. Accelerated ISAR sparse imaging based on tight frame and projection operator. IEEE Sensors Journal, 2023, 23(19): 23092-23102. (JCR1区)

5. Xiaozhen Ren*, Yanwen Bai, Yuying Jiang. Fast terahertz imaging model based on group sparsity and nonlocal self-similarity. Micromachines, 2022, 13(1):94. (JCR2区)

6.Xiaozhen Ren*, Yuying Jiang. Spatial Domain Terahertz Image Reconstruction Based on Dual Sparsity Constraints. Sensors, 2021, 21(12):4116. (JCR1区)

7. Xiaozhen Ren*, Yanwen Bai, Yuying Jiang. Hybrid sparsity model for fast terahertz imaging. Micromachines, 2021, 12(10):1181. (JCR2区)

8.Xiaozhen Ren*, Yao Qin, Lihong Qiao. Bayesian compressive sensing for synthetic aperture radar tomography imaging. Ukr. J. Phys. Opt., 2020, 21(4): 191-200. (JCR4)

9.Xiaozhen Ren*, Tiejun Yang, Yao Qin, Lihong Qiao. Tomography synthetic aperture radar imaging based on extended block orthogonal matching pursuit algorithm. Journal of Applied Remote Sensing, 2019, 13(1): 014512. (JCR4区)

10.Xiaozhen Ren*, Lihong Qiao. A novel strategy for inverse synthetic aperture radar imaging based on improved compressive sensing,IEEJ Transactions on Electrical and Electronic Engineering,2016, 11(2): 140-145. (JCR4区)

11.Xiaozhen Ren*, Fuyan Sun. Tomography SAR imaging strategy based on block-sparse model. Progress In Electromagnetics Research M, 2016, 47, 191-200. (EI)

12. Xiaozhen Ren*, Lina Chen. Four-dimensional SAR imaging algorithm using Bayesian compressive sensing. Journal of Electromagnetic Waves and Applications, 2014, 28(13): 1661-1676. (JCR3区)

13.Xiaozhen Ren*, Lina Chen, Jing Yang. 3D imaging algorithm for down-looking MIMO array SAR based on Bayesian compressive sensing. International Journal of Antennas and Propagation, vol.2014, 9 pages, 2014. (JCR3区)

14. Xiaozhen Ren*, Xiuming Sun. An algorithm for inverse synthetic aperture imaging lidar based on sparse signal representation. Laser Physics, 2014, 24(12) : 125007. (JCR3区)

15. Xiaozhen Ren*, Yao Qin, Lihong Qiao. A novel 3D imaging algorithm for down-looking array SAR based on special squint model. International Journal of Antennas and Propagation, vol.2014, 10 pages, 2014. (JCR3区)

二、主持或参加科研/教研项目(课题)

1国家自然科学基金,基于结构稀疏的多角度层析SAR三维重建模型与处理方法.(主持)

2.国家自然科学基金,合成孔径雷达四维稀疏成像模型及处理方法研究.(主持)

3.河南省人社厅留学人员科研择优资助项目.(主持)

4.河南省教育厅高等学校青年骨干教师, 基于联合稀疏模型的层析SAR三维成像理论与处理方法研究.(主持)

5.河南省科技厅科技攻关项目,基于四维微波成像的建筑物沉降监测技术研究.(主持)

6河南省教育厅高等学校重点科研项目,基于微波成像理论的粮食作物长势监测与估计方法研究.(主持)

7.郑州市科技局专项,灾害遥感中三维微波成像关键技术与应用.(主持)

8.河南省属高校基本科研业务费专项资金,基于分布压缩感知的层析SAR三维成像方法研究.(主持)

9.河南省属高校基本科研业务费专项资金,基于场景稀疏表示的高分辨率雷达目标成像方法研究.(主持)

10、国家自然科学基金,基于瞬态成像响应的非同步相移轮廓术三维测量方法研究.(第2)

11、国家自然科学基金,相移法下包含运动信息的三维重构模型研究.(第2)

12、国家自然科学基金,基于电磁波的散粒体粮堆储量探测关键技术研究.(第3)

13、国家自然科学基金,基于解析法和谱图法的二维瞬时频率分析.(第3)

三、授权专利

1.任笑真, 秦瑶, 乔丽红, 孙福艳, 吕宗旺, 李盾. 一种基于联合稀疏模型的层析SAR成像方法, 发明专利, ZL201511000532.6.

2.任笑真, 蒋玉英,孙福艳, 吕宗旺,秦瑶, 乔丽红, 翁强. 一种太赫兹时域光谱稀疏成像方法, 发明专利, ZL201610829573.4.

3.秦瑶, 乔丽红, 王其富, 任笑真, 廉飞宇, 杨德梅. 一种探地雷达地下目标定位方法, 发明专利, 201510448198.4.

4.乔丽红, 秦瑶, 王其富, 任笑真, 廉飞宇, 杨德梅. 一种基于二维经验模态分解的探地雷达地下目标检测方法, 发明专利, 201510570738.6.

四、获得学术奖励

1. 任笑真(1/8).多基线合成孔径雷达层析成像系统, 教育厅科技成果二等奖.

2. 任笑真(1/9).聚束模式合成孔径雷达干涉处理系统, 教育厅科技成果二等奖.

3. 任笑真(1/3). A new three-dimensional imaging algorithm for forward-looking SAR, 河南省自然科学优秀学术论文一等奖.

4. 任笑真(1/3). A three-dimensional imaging algorithm for tomography SAR based on improved interpolated array transform, 河南省自然科学优秀学术论文二等奖.



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