主要成果: | 个人成果概况: 作为项目负责人主持承担国家自然科学基金青年项目、中国博士后基金、江苏省自然科学基金青年项目、可信云计算与大数据重点实验室开放基金等项目。作为主要参与人参加国家自然科学基金重点项目、“十三五”科技支撑计划项目、“863”计划项目、国家自然科学基金面上项目等10余项科研课题。发表SCI、EI检索论文20余篇,担任IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Intelligent Transportation, Circuits, Systems & Signal Processing, Optics Express等刊物的审稿人。 主要成果: 一、出版学术专著 1.《图像目标检测技术及应用》,人民邮电出版社,2016,ISBN 9789115418791,排名1 2.《高光谱遥感图像特征选择与提取及分类》,人民邮电出版社,2017,排名1 二、发明专利(授权受理国家发明专利20余项) 1.国际发明专利,一种基于复眼仿真的水面偏振成像的目标运动检测方法. PCT/CN2014/076146,排名1 2.国家发明专利,强散射光学成像环境中非均匀光照下区域化图像恢复方法,授权号:ZL201410015513.X,排名1 3.国家发明专利,一种水情监测系统,授权号:ZL201310087503.2,排名1 4.国家发明专利,一种基于空间?时间频谱联合分析的运动目标检测方法,授权号:ZL201410594834.X,排名1 5.国家发明专利,模拟复眼视觉机制和偏振成像的水面目标运动检测方法,授权号:ZL201310039792.9,排名1 6.国家发明专利,模拟复眼视觉机制和偏振成像的水面目标运动检测方法,授权号:ZL201310039792.9,排名1 7.国家发明专利,一种基于置信度核回归的图像超分辨率重建方法,授权号:ZL201410173153.6,(排名2) 8.国家发明专利,一种基于变高单应的河流水面摄影测量方法,授权号:ZL201310432166.6,(排名3) 9.国家发明专利,非接触式河流表面流场成像量测方法,授权号:ZL201210346488.4,(排名3) 10.国家发明专利,工云端控制网络化视频图像处理流媒体服务系统及方法 -,授权号:ZL201210009694.6,(排名3) 三、发表论文 发表论文30余篇,SCI、EI检索20余篇 [1] Chen, Zhe(陈哲), Zhen Zhang, Fengzhao Dai, Yang Bu, and Huibin Wang. Monocular Vision-Based Underwater Object Detection. Sensors.2017, Vol.8, pp.1784-1798. [2] Chen, Zhe(陈哲), Xin Wang, Zhen Sun, and Zhijian Wang. Motion saliency detection using a temporal fourier transform. Optics & Laser Technology. 2016, Vol.80, pp.1-15. [3] Chen, Zhe(陈哲), Zhen Zhang, Yang Bu, Fengzhao Dai, Tanghuai Fan, and Huibin Wang. Underwater Object Segmentation Based on Optical Features. Sensors 2018, Vol.1 pp.196-212. [4] Zhe Chen(陈哲), H.Wang, L.Xu, J.Shen. Visual-Adaptation-Mechanism Based Underwater Object Extraction. Optics & Laser Technology. 2014, Vol.56, pp.119-130 [5] Zhe Chen, Guofang Lv, Li Lv, Tanghuai Fan and Huibin Wang. Spectrum Analysis-based Traffic Video Synopsis. Journal of Signal Processing Systems. 2018. Vol.3 In Press. [6] Zhe Chen(陈哲), Huibin Wang, Jie Shen, Xiaofang Li, Lizhong Xu. Region-specialized underwater image restoration in inhomogeneous optical environments. International Journal for Light and Electron Optics. 2014, Vol.125, No.9, pp.2090-2098 [7] 陈哲, 王慧斌, 沈洁, 徐立中. 基于光强-光谱-偏振信息融合的水下目标检测. 通信学报. 2013, Vol.34, No.3, pp.192-198 [8] Zhe Chen(陈哲), Huibin Wang*, Jie Shen, Jinyu Bao Object Tracking based on Multi-Bernoulli Filter and Improved Nearest Neighbor Algorithm. Sensors & Transducers. 2013, Vol.160, pp.32-39 [9] Zhe Chen(陈哲), Jie Shen, Xin Wang, Rong Zhang, Huibin Wang. Manifold learning: new features for underwater object recognition. WIT Transactions on Information and Communication Technologies. 2014, Vol.59, pp.653-659 [10] Zhe Chen(陈哲), Jianqiang Gao, Jie Shen, Huibin Wang. Spectral Residual Based Underwater Animal Detection. Advanced Materials Research. 2013, Vol.850, pp.970-973 [11] Zhe Chen(陈哲), H. Wang, J. Shen, X. Dong. Underwater Object Detection by Combining the Spectral Residual and Three-Frame Algorithm. Advanced in Computer Science and Its Applications. 2014, Vol.279, pp.1109-1114 [12] 陈哲, 顾明亮, 王劲松, 冯静兰, 杨亦鸣. 基于 “码袋” 算法的话者自动辨认系统. 声学技术. 2010, Vol.29, No.2, pp.188-191 [13] Zhe Chen(陈哲), Jie Shen, Tanghuai Fan, Zhen Sun, Lizhong Xu. Single-camera three-dimensional tracking of underwater objects. International Journal of Signal Processing, Image Processing and Pattern Recognition.2015, Vol.8, pp.89-104 [14] Gu. Ming-liang(硕士生导师), Chen Zhe(陈哲), Wang. Jin-song, Feng Jing-lan. “Bag of Codes” Based Automatic Speaker Identification. 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication (ASID 2009). 2009.7, Hongkong, pp.183-186 [15] 王慧斌, 陈哲, 王鑫, 马玉. 基于随机有限集的 Upf-Cphd 多目标跟踪. 通信学报. 2012, Vol.33, No.12, pp.147-153 [16] 张振,陈哲,吕莉,王鑫,徐立中.基于视觉感受野的自适应背景抑制方法. 仪器仪表学报. 2014, Vol.35, No.1, pp.191-199. [17] H. Wang, Z. Chen, T. Yi, X. Wang, L. Xu. A Bionic Motion Tracking Model Inspired by the Eye of Mantis Shrimps. 2011 International Conference on Engineering and Industries (ICEI 2011). 2011.11, pp.14-19 [18] C.M. Li, Z. Chen, J. Shen, X. Wang, H.B. Wang. Principal Component Analysis Based Underwater Object Recognition. Advanced Materials Research. 2014, Vol.850, pp.817-820 [19] H.-b. Wang, J. Shen, Z. Chen, J. Shen. A Fast Object Tracking Approach Based on the Motion Vector in a Compressed Domain. International journal of advanced robotic systems. 2013, Vol.10, pp.21-28 [20] 严锡君,张振,陈哲,吕莉,王慧斌,基于FHT-CC的流场图像自适应运动矢量估计方法. 仪器仪表学报. 2014, Vol.35, No.1, pp.42-49 |