于秋则

部门: 信息与通信工程系
姓名: 于秋则
邮箱: yuhenry007@whu.edu.cn
性别:
职称: 教授
学历学位: 博士
导师类型: 博导/硕导
办公电话:
通信地址: 电子信息学院院办
邮政编码:
主要经历:
学习经历:

2005年:华中科大博士;
2013年:加州理工短期访学

任职经历: 2005年-2007年;华中科技大学博士后,航天某所兼职工作;
2008年-2014年;上海交通大学科研专职研究员;
2012年-2013年;加州理工访问学者;
2014年-现在;     武汉大学研究员,教授


主讲课程:
本科生课程: 《信息论基础》
研究生课程:

《通信网络理论基础》

科学研究:
主要研究方向:

主要从事多模图像处理与模式识别研究工作。2012年起担任北京某所C4ISR重点实验室研究员。目前主要研究方向:AI 图像目标感知技术、合成孔径雷达(SAR)高精度制导信息处理研究、侦察实时信息处理技术、图像信息处理与模式识别高速实时信息处理(DSP/FPGA)
 

主要科研课题及项目:

项目与课题集中在:雷达信号处理与导航、AI与视觉信息处理。包括:雷达成像图像信息处理算法,基于增强视觉的飞行器导航(含有INS/GPS/SAR视觉)与制导体制、算法、系统研究等。从事纵向与横向合作项目近20+项。完成了面向工程应用的雷达图像匹配定位与导航算法与原理样机系统,所研究的算法与原理样机获得甲方好评,并应用于重点预研型号中。完成了第一个面向深度网络学习的多谱非合作目标样本库(样本类别在6类,覆盖雷达、可见光等波段,样本总量在100+)及多源融合目标识别系统。担任“C4ISR国防科技重点实验室”客座研究员。作为项目负责人主持10+课题研究,总经费共计2000+,来源包括:军委科技委创新特区、装发联合预研基金、国家自科基金面上,“核高基”重大专项(委托),军口863,军口横向等。

主要论文及著作:

发表与课题有关的论文近三十篇。包括遥感领域权威期刊ISPRS P&RSIEEE TGRSIEEE JSTARSPRRS 论文

1.      Qiuze Yu*,Dawen Ni,“Universal SAR and Optical Image Registration via a Novel SIFT Framework Based on Nonlinear Diffusion and a Polar Spatial-Frequency DescriptorISPRS Journal of Photogrammetry and Remote Sensing2020(SCIJCR1 区,IF=7.32)

2.      Qiuze Yu*,Dawen Ni,“SAR pixel-wise registration via multiscale coherent point drift with iterative residual map minimization”,IEEE Transactions on Geoscience and remote sensing,2020(SCIJCR1 区,IF = 5.8)

3.      Qiuze Yu*, Yuxuan Jiang, Wensen Zhao, and Tao Sun, “High-Precision Pixelwise SAR-Optical Image Registration via Flow Fusion Estimation Based on an Attention Mechanism". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.15, 2022

4.      Qiuze Yu*, Miao Zhang, Lijie Yu, Ruikai Wang, and Jinsheng Xiao, “SAR Image Change Detection Based on Joint Dictionary Learning With Iterative Adaptive Threshold Optimization”.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.15, 2022

5.      Qiuze Yu*, Shan Zhou, Yuxuan Jiang, Peng Wu, and Yong Xu, “High-performance SAR Image Matching Using Improved SIFT Framework Based on Rolling Guidance Filter and ROEWA-Powered Feature”.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.12, n 3, 2019

6.      Qiuze Yu* ,ZHEN LEI, HAIBO HU "A Novel 2D Off-Grid DOA Estimation Method Based on Compressive Sensing and Least Square Optimization",IEEE Access,2019,August(SCI

7.      Bo Pang, Qiuze Yu*, Hong Sun, Wenshuai Xiao, Yong Xu, Yan Zhang, “Synthetic aperture radar image registration based on hybrid feature detection and multifeature constraint matching,” J. Appl. Remote Sens. 12(3), 036012 (2018), doi: 10.1117/1.JRS.12.036012

8.      Bo Pang, Qiuze Yu*, Hong Sun, Wenshuai Xiao, Yong Xu & Yan Zhang, “Multi sensor SAR image coregistration based on stable convex corner points and double matching network”, REMOTE SENSING LETTERS, Vol. 9, n 11, pp 1030–1039, 2018.

9.      Qiuze Yu*, Guo Huairui, Liao Haitao, “An analytical approach to failure prediction for systems subject to general repairs”, EEE Transactions on Reliability, Vol.62, n 3,pp 714-721,2013

10.      Xiong Huilin, Yu Wenxian, Yang Xin, Swamy M. N. S., Qiuze Yu*, “Learning the Conformal Transformation Kernel for Image Recognition”, IEEE Transactions on Neural Networks and Learning Systems, December 17, 2015

11.      Liu Bin, Qiuze Yu*, Liu Xingzhao, Yu Wenxian, “A novel ship detection approach for polarimetrie SAR images based on a foreground background separation framework”, Chinese Journal of Electronics, Vol.22, n3,p 641-647, 2013

12.   Qiuze Yu, jian Liu.“A NOVEL contour-based 3D terrain matching using wavelet transform”, Pattern recognition letters, 2004 , 25(1):87-99

13.   Qiuze Yu, jian Liu. “Automatic multi-sensor image registration using wavelet transforms”, Chinese Journal of Electronics. 2003,12(4): 567-571

14.   Qiuze Yu, Wang Yufan, Zhang Yan, Qu Guangzhou, “High performance local-texture -information weighted SAR template image matching”, IET Conference On Radars,v 2013, n 617,2013

15.   Qiuze Yu, Bo Pang, Peng Wu, “Automatic Coarse-to-Precise SubPixel Multi-band SAR Images Co-registration based on Affine SIFT and Radial Base Function(RBF)”, Proceedings of the The 5th Asia-Pacific Conference on Synthetic Aperture Radar,P684-687

16.   Bo Pang, Hong Sun, Qiuze Yu*, Peng Wu, “A Hybrid SAR Image Registration Algorithm Base on SURF and Mutual Information, 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar(APSAR),379-382

17.   Zhou Yuhao, Qiuze Yu*, Hua Sunni, Yin Wen, Li Yuanxiang, “An automatic global-to-local image registration based on SIFT and thin-plate spline (TPS)”, International Geoscience and Remote Sensing Symposium (IGARSS),p 2535-2538,2013 – Proceedings

18.   Hua Sunni, Qiuze Yu*, Zhou Yuhao, “AN improved particle swarm optimization algorithm for high dimension image matching”, Proceedings of SPIE - The International Society for Optical Engineering 8920,2013,MIPPR 2013: Parallel Processing of Images and Optimization and Medical Imaging Processing

 

国家发明专利:

1.   一种针对高分辨率SAR图像场景解译的一类提取分类方法 发明专利,201110446232

2.   基于监督主题模型的高分辨率SAR影像标注方法 发明专利,201110446373

3.   一种具有空间自适应性的极化SAR图像分割方法 发明专利,20121011153

4.  基于非线性尺度空间及径向基函数的SAR高精度配准方法 发明专利, ZL201810531894.5

 

其它:
获奖情况:  
主要社会及学术兼职:

IEEE Member
北京航天某所C4ISR重点实验室客座研究员
IEEE TRANS.ON RELIABILITY;
IEEE TRANS.on Aerospace and Electronic System
PATTREN RECOGNITION
IEEE TIPIEEE TGRS JSTARSISPRS P&RSIJRSIJGISPR等刊物审稿人

所带研究生情况: 培养博士1名;硕士12名;
欢迎计算机、数学、遥感测绘、雷达、电子工程、自动化等学生报考。课题组提供一切学习帮助(软硬件设备)
研究生就业:
华孙霓,周雨浩:  华为
蒋    丽、倪达文: 字节跳动
吴鹏杰、颜宇轩:  小米
周    珊 :              OPPO
李子玲:                快手


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