一、个人基本信息
赵建辉，男，1980年5月生，河南新乡人，研究生学历，工学博士，副教授，硕士生导师。
二、奖励
[1]2018.09，河南大学2017-2018学年度教学质量奖二等奖
[2]2016.06，河南大学2015-2016学年度教学质量奖一等奖
[3]2014.12，2014年度河南省科学技术进步奖一等奖(参与，14/15)
[4]2009.09，河南大学2007-2009年度教学优秀奖
三、主讲课程和研究方向
主讲课程：C/C++程序设计，创新项目实践
研究方向：SAR图像处理，农业遥感应用
研究方向简介：微波成像雷达（又称合成孔径雷达，简称SAR）是一种快速发展的对地观测传感器，能够全天时、全天候获取高精度、连续覆盖的地面散射信息、地面高程信息和地表形变信息，具有地表多维度成像能力，已在地形测绘、重大工程设施形变监测（铁路、桥梁、大坝和摩天大楼等）、全球环境变化（冰川消融、冻土退化、冰川漂移、极地冰层变化等）、灾害监测评估（地震地壳形变、火山运动、山体滑坡、区域地面沉降等）、能源资源勘查（油气田开采、矿藏资源开采、地下水抽采等）等相关领域得到了广泛应用。
雷达信息处理团队现有9名教师，其中教授3人、副教授3人、校聘副教授3人，师资队伍雄厚，科研经费充足，科研氛围浓厚，可协助推荐工作和继续深造。
研究团队可招收：
博士研究生：软件工程
学术型硕士研究生：计算机科学与技术、软件工程
专业型硕士研究生：计算机技术、大数据技术与工程
欢迎同学们报考我们团队的研究生！
团队研究生培养情况：
“南苑1号楼334室，全员拿到一流大学博士offer！”
https://mp.weixin.qq.com/s/bYs06naElVdc5-GgSmofLw
四、论文、著作
近几年在所从事领域内发表论文50余篇，其中SCI/EI检索30余篇，部分论文如下：
[1]Ran Wang, Jianhui Zhao*, Huijin Yang, Ning Li. Inversion of Soil Moisture on Farmland Areas Based on SSA-CNN Using Multi-Source Remote Sensing Data[J]. Remote Sensing, 2023, 15(10): 2515. https://doi.org/10.3390/rs15102515 (SCI)
[2]Kaixin Zhang, Da Yuan, Huijin Yang, Jianhui Zhao*, Ning Li. Synergy of Sentinel-1 and Sentinel-2 Imagery for Crop Classification Based on DC-CNN[J]. Remote Sensing, 2023, 15(11): 2727. https://doi.org/10.3390/rs15112727 (SCI)
[3]Yinglin Wang, Jianhui Zhao, Zhengwei Guo*, Huijin Yang, Ning Li. Soil Moisture Inversion Based on Data Augmentation Method Using Multi-Source Remote Sensing Data[J]. Remote Sensing, 2023, 15(7): 1899. https://doi.org/10.3390/rs15071899 (SCI)
[4]Zewen Fu, Hengrui Zhang, Jianhui Zhao, Ning Li*, Fengbin Zheng. A Modified 2-D Notch Filter Based on Image Segmentation for RFI Mitigation in Synthetic Aperture Radar[J]. Remote Sensing, 2023, 15(3): 846. https://doi.org/10.3390/rs15030846 (SCI)
[5]Da Yuan, Chao Wang, Lin Wu*, Xu Yang, Zhengwei Guo, Xiaoyan Dang, Jianhui Zhao, Ning Li. Water Stream Extraction via Feature-Fused Encoder-Decoder Network Based on SAR Images[J]. Remote Sensing, 2023, 15(6): 1559. https://doi.org/10.3390/rs15061559 (SCI)
[6]Guixiang Tian, Heping Li, Qi Jiang, Baojun Qiao, Ning Li, Zhengwei Guo, Jianhui Zhao, Huijin Yang. An Automatic Method for Rice Mapping Based on Phenological Features with Sentinel-1 Time-Series Images[J]. Remote Sensing, 2023, 15(11): 2785. https://doi.org/10.3390/rs15112785 (SCI)
[7]Ran Wang, Jianhui Zhao*, Ning Li. Enhancing Surface Soil Moisture Estimation in Agricultural Fields: A Combined Approach of Improved WCM and CNN[C]. 2023 International Conference on Remote Sensing, Mapping and Geographic Information Systems (RSMG2023), (EI)
[8]Qian Li, Jianhui Zhao*, Huijin Yang, Ning Li. Winter Wheat Yield Estimation at Village Scale Based on Time Series SAR Images[C]. 2023 5th International Conference on Geoscience and Remote Sensing Mapping (GRSM2023), (EI)
[9]Haoxin Duan, Huijin Yang, Jianhui Zhao*, Ning Li. Winter Wheat Phenology Classification Using Stacking Ensemble Learning Algorithm Based On Sentinel-1A SAR Images[C]. 2023 5th International Conference on Geoscience and Remote Sensing Mapping (GRSM2023), (EI)
[10]Jianhui Zhao, Chenyang Zhang, Lin Min, Zhengwei Guo*, Ning Li. Retrieval of Farmland Surface Soil Moisture Based on Feature Optimization and Machine Learning [J]. Remote Sensing, 2022, 14(20): 5102. https://doi.org/10.3390/rs14205102 (SCI)
[11]Zewen Fu, Hengrui Zhang, Jianhui Zhao, Ning Li*, Fengbin Zheng. A Modified 2-D Notch Filter Based on Image Segmentation for RFI Mitigation in Synthetic Aperture Radar [J]. Remote Sensing, 2023, 15(3): 846. https://doi.org/10.3390/rs15030846 (SCI)
[12]Ning Li, Zhishun Guo, Jianhui Zhao, Lin Wu*, Zhengwei Guo. Characterizing Ancient Channel of the Yellow River from Spaceborne SAR: Case Study of Chinese Gaofen-3 Satellite [J]. IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022, Art no. 1502805, published online, https://doi.org/10.1109/LGRS.2021.3116693. (SCI)
[13]Ning Li, Qingyuan Shen, Ling Wang, Qing Wang*, Zhengwei Guo, Jianhui Zhao. Optimal Time Selection for ISAR Imaging of Ship Targets Based on Time-Frequency Analysis of Multiple Scatterers [J]. IEEE Geoscience and Remote Sensing Letters, vol.19, pp. 1-5, 2022, Art no.4017505,publishedonline,https://doi.org/10.1109/LGRS.2021.3103915. (SCI)
[14]Ning Li, Heping Li, Jianhui Zhao, Zhengwei Guo, Huijin Yang*. Mapping winter wheat in Kaifeng, China using Sentinel-1A time-series images [J]. Remote Sensing Letters, 2022, 13(5): 503-510. https://doi.org/10.1080/2150704X.2022.2046888 (SCI)
[15]Zhengwei Guo, Wenwen Qi, Yabo Huang, Jianhui Zhao, Huijin Yang, Voon-Chet Koo, Ning Li. Identification of Crop Type Based on C-AENN Using Time Series Sentinel-1A SAR Data [J]. Remote Sensing, 2022, 14(6): 1379. https://doi.org/10.3390/rs14061379 (SCI)
[16]Huijin Yang, Heping Li, Wei Wang*, Ning Li, Jianhui Zhao, Bin Pan. Spatio-Temporal Estimation of Rice Height Using Time Series Sentinel-1 Images [J]. Remote Sensing, 2022, 14(3): 546. https://doi.org/10.3390/rs14030546 (SCI)
[17]Zhishun Guo, Lin Wu, Yabo Huang*, Zhengwei Guo, Jianhui Zhao, Ning Li. Water-Body Segmentation for SAR Images: Past, Current, and Future [J]. Remote Sensing, 2022, 14(7): 1752. https://doi.org/10.3390/rs14071752 (SCI)
[18]Chenyang Zhang, Jianhui Zhao, Lin Min, Ning Li*. Cooperative Inversion of Winter Wheat Covered Surface Soil Moisture by Multi-Source Remote Sensing [C]. 2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2022), July 17-22, 2022, Kuala Lumpur, Malaysia. https://doi.org/10.1109/IGARSS46834.2022.9883903 (EI)
[19]李宁, 郭志顺, 毋琳*, 赵建辉. River-Net:面向河道提取的Refined-Lee Kernel深度神经网络模型[J]. 雷达学报, 2022, 11(3): 324-334. https://doi.org/10.12000/JR21148. (EI)
[20]Ning Li, Hanqing Zhang, Jianhui Zhao*, Lin Wu, Zhengwei Guo. An Azimuth Signal-Reconstruction Method Based on Two-Step Projection Technology for Spaceborne Azimuth Multi-Channel High-Resolution and Wide-Swath SAR [J]. Remote Sensing, 2021, 13(24): 4988. https://doi.org/10.3390/rs13244988 (SCI)
[21]Jianhui Zhao, Kuan Wang, Ling Wang, Zhengwei Guo, Ning Li*. A novel phase bias estimation method for multichannel HRWS SAR system in azimuth based on RDS analysis[J]. Remote Sensing Letters, 2021, 12(1): 42-50. https://doi.org/10.1080/2150704X.2020.1841320 (SCI)
[22]Ning Li,Zongsen Lv,Zhengwei Guo,Jianhui Zhao*.Time-Domain Notch Filtering Method for Pulse RFI Mitigation in Synthetic Aperture Radar[J].IEEE Geoscience and Remote Sensing Letters,2021,published online,https://doi.org/10.1109/ LGRS. 2021.3077247 (SCI)
[23]Lin Wu, Wenwen Qi, Zhengwei Guo*, Jianhui Zhao, Huijin Yang, Ning Li. Winter wheat planting area extraction using SAR change detection [J]. Remote Sensing Letters, 2021, 12(10): 951-960, https://doi.org/10.1080/2150704X.2021.1951873 (SCI)
[24]Zongsen Lv, Ning Li*, Zhengwei Guo, Jianhui Zhao. Detection and Mitigation of Mutual RFI in C-Band SAR: A Case Study of Chinese GaoFen-3 [C]. 2021 IEEE Radar Conference (RadarConf21), Atlanta, GA, USA,2021-5-7至2021-5-14. https://doi.org/10.1109/RadarConf2147009.2021.9455189 (EI)
[25]赵建辉, 张蓓, 李宁, 郭拯危*. 基于 Sentinel 1/2遥感数据的冬小麦覆盖地表土壤水分协同反演[J]. 电子与信息学报, 2021, 43(3): 692-699. https://doi.org/10.11999/JEIT200416 (EI)
[26]赵建辉, 张晨阳, 闵林*, 李宁, 王颖琳. 基于特征选择和GA-BP神经网络的多源遥感农田土壤水分反演[J]. 农业工程学报, 2021, 37(11): 112-120. https://doi.org/10.11975/j.issn.1002-6819.2021.11.013 (EI)
[27]闵林, 王宁, 毋琳, 李宁, 赵建辉*. 基于多源雷达遥感技术的黄河径流反演研究[J]. 电子与信息学报, 2020, 42(7): 1590-1598. https://doi.org/10.11999/JEIT190494 (EI)
[28]Dongya Xu, Jianhui Zhao*, Ning Li. On scattering characteristics of winter wheat at different phenological period based on Sentinel-1A SAR images [C]. IET Conference Publications, v 2020, n CP779, p 1478-1482, 2020, IET International Radar Conference (IET IRC 2020), virtual, online, 2020-11-4至2020-11-6, https://doi.org/10.1049/icp.2021.0560 (EI)
[29]Bei Zhang, Jianhui Zhao, Ning Li, Zhengwei Guo*. A new vegetation index for cooperative inversion of winter wheat covered surface soil moisture based on Sentinel-1/2 remote sensing data [C]. IET Conference Publications, v 2020, n CP779, p 445-449, 2020, IET International Radar Conference (IET IRC 2020), virtual, online, 2020-11-4至2020-11-6, https://doi.org/10.1049/icp.2021.0636 (EI)
[30]Chenyang Zhang, Lin Min*, Jianhui Zhao. Surface soil moisture inversion based on DEFS-GA-BP model using Sentinel-1/2 remote sensing data [C]. IET Conference Publications, v 2020, n CP779, p 586-590, 2020, IET International Radar Conference (IET IRC 2020), virtual, online, 2020-11-4至2020-11-6, https://doi.org/10.1049/icp.2021.0770 (EI)
[31]Jianhui Zhao, Ning Wang, Lin Wu, Lin Min*. A New Runoff Calculation Model based on Multisource Radar Remote Sensing Technology[C]. The 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR 2019), Xiamen, China, 2019-11-26至2019-11-29, https://doi.org/10.1109/APSAR46974.2019.9048275 (EI)
[32]Shilin Niu, Ning Li, Zhengwei Guo, Yuexiu Guo, Lin Wu, Jianhui Zhao*. Robust boundary extraction of great lakes by blocking Active Contour Model using Chinese GF-3 SAR data: a case study of Danjiangkou reservoir, China[C]. Journal of Engineering, 2019, 2019(20): 6876-6879. IET International Radar Conference, IRC 2018. https://doi.org/10.1049/joe.2019.0467 (EI)
[33]Lin Wu, Mengwei Sun, Lin Min, Jianhui Zhao, Ning Li, Zhengwei Guo*. An Improved Method of Algal-bloom Discrimination in Taihu Lake Using Sentinel-1A Data [C]. The 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR 2019), Xiamen, China, 2019-11-26至2019-11-29. https://doi.org/10.1109/APSAR46974.2019.9048572 (EI)
[34]Ning Li*, Shilin Niu, Zhengwei Guo, Lin Wu, Jianhui Zhao, Lin Min, Daqing Ge, Jiaqi Chen. Dynamic Waterline Mapping of Inland Great Lakes Using Time-Series SAR Data from GF-3 and S-1A Satellites: A Case Study of DJK Reservoir, China[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12(11): 4297-4314. https://doi.org/10.1109/JSTARS.2019.2952902 (SCI)
[35]Mengfan Wei, Baojun Qiao*, Jianhui Zhao, Xianyu Zuo. The Area Extraction of Winter Wheat in Mixed Planting Area based on Sentinel-2A Remote Sensing Satellite Images[J]. International Journal of Parallel, Emergent and Distributed Systems, 2019, 1: 1-12. https://doi.org/10.1080/17445760.2019.1597084 (EI)
[36]Lin Wu, Le Wang, Lin Min, Wei Hou, Zhengwei Guo*, Jianhui Zhao*, Ning Li. Discrimination of Algal-Bloom Using Spaceborne SAR Observations of Great Lakes in China [J]. Remote Sensing, 2018, 10(5): 767. https://doi.org/10.3390/rs10050767 (SCI)
五、科研项目
[1]河南省科技攻关计划项目, “基于多波段多极化SAR影像的冬小麦物候期监测研究”, 2021.01-2022.12, 结项, 主持。
[2]河南省高等学校重点科研项目计划, “河南地区冬小麦雷达极化特征及其遥感监测研究”, 2019.01-2020.12, 结项, 主持。
[3]横向课题, “****信号处理系统”, 2018.01-2019.12, 结项, 主持。
[4]国家自然科学基金项目, “基于高分辨星载SAR图像的丹江口水库生态红线保护区的水源涵养功能监测与评估”, 2019.01-2022.12, 结项, 参与。
[5]国家重点研发计划重点专项课题, “小麦-玉米农田信息智能化决策管理关键技术”, 2017.01-2020.12, 结项, 参与。
[6]国家自然科学基金项目, “基于高分辨星载SAR图像的丹江口水库安全与水环境监测研究”, 2017.01-2019.12, 结项, 参与。
六、专利
[1]利用高分辨率星载SAR影像提取湖泊水路分割线的方法(5/7)．已授权．授权号：ZL201811127473.2
[2]亚像素精度SAR图像水线映射方法(5/6)．已授权．授权号：ZL201910455284.6
[3]图像干扰抑制方法、装置、计算机可读介质和电子设备(6/6)．已授权．授权号：ZL202010694412.5
[4]基于位置指纹的Wi-Fi定位方法和装置(6/7)．已授权．授权号：ZL202010739143.X
[5]基于多源雷达遥感技术的河流径流监测反演方法(5/6)．已授权．授权号：ZL201910474150.9
[6]一种小样本农作物分类方法、系统、存储设备及电子设备(1/5)．实质审查．受理号：202210897784.7
[7]双通道CNN的农作物分类系统、方法、存储介质和电子设备(3/5)．实质审查．受理号：202211104080.6
[8]基于长相干处理间隔的机载逆合成孔径雷达舰船目标精细聚焦方法、系统及存储介质(3/5)．实质审查．受理号：202211195619.3
[9]一种非线性调频信号调制干扰方法和系统(5/5)．实质审查．受理号：202110797462.0
[10]基于不规则卷积核神经网络模型的SAR图像语义分割方法和系统(3/5)．实质审查．受理号：2021111057710.4
[11]一种逆合成孔径雷达对舰船目标的成像方法和系统(6/6)．实质审查．受理号：202110858058.X
[12]TOPS SAR系统的通道相位偏差估计方法和装置(4/5)．实质审查．受理号：202011248769.7
[13]土壤水分反演方法、装置、计算机可读介质和电子设备(4/6)．实质审查．受理号：202010701686.2
[14]一种基于De-Chirp技术的SAR干扰抑制方法及装置(6/6)．实质审查．受理号：202010606077.9
[15]一种星载雷达广域地表二维形变场监测方法及装置(6/7)．实质审查．受理号：202010513989.1
七、联系方式
E-mail：jhzhao@henu.edu.cn
