[1] 电气与电子工程师协会(Institute of Electrical and Electronics Engineers, IEEE)会员;
[2] 中国光学学会(Chinese Optical Society, COS)会员;
[3] Photonics期刊(中科院三区SCI)客座编辑,负责专刊Optical Design and Night Vision Imaging及Progress in Hyperspectral Imaging and Future Prospects;
[4] 担任著名国际SCI杂志审稿人:Optics Express (OExp), Applied Optics (AO), Journal of the Optical Society of America A (JOSA A), Optics and Laser in Engineering (OLEN), Optics and Laser Technology (OLT), Optics Communications (OC), Infrared Physics & Technology (IPT), IEEE Geoscience and Remote Sensing Letters (GRSL), Optics Engineering (OE)等。
本人近年来积极承研国家自然基金、JKW工程专项、兵器联合基金等重要科研项目,主要包括:
[1] XXX工程重大专项(课题):彩色XXX
[2] XXX计划重点研究项目(课题):基于XXX特性的XXX机理与方法
[3] 国家自然基金青年项目:主动偏振成像下基于视觉差异优化和表面特征反演的目标识别方法
[4] 江苏省自然基金青年项目:基于光学常数反演和光路偏振态优化的海面溢油在线识别方法研究
[5] 中国博士后面上项目:基于红外光谱辐射特性感知建模的知识驱动型军事目标检测方法
[6] 江苏省博士后科研资助项目:基于光谱感知和特征反演的目标红外辐射特性快速预测方法研究
[7] 航天科技创新基金项目:基于红外多谱段特征提取的XXX方法研究
[8] 兵器XXX联合基金项目:XXX探测识别技术
[9] 校自主科研专项项目:基于物理模型与数据驱动关联建模的水下被动式全彩色负 dB 成像方法研究
[10] 江苏省光谱成像与智能感知重点实验室开放基金项目:基于偏振特征强化的伪装涂层辨识方法研究
[11] 与总参六〇所合作项目:XXX打击系统
[12] 与航天八〇三所合作项目:多波段红外成像XXX算法
[13] 与航天八〇三所合作项目:复杂背景下XXX特性分析与智能识别
[14] 与航天八五一一所合作项目:精细化三维XXX仿真平台
[15] 与航天八五一一所合作项目:可见光与红外波段XXX探测模型
[16] 与兵器六七二厂合作项目:XXX光电测量系统
本人围绕光电成像与目标探测技术,在国内外知名SCI、EI期刊上发表论文60余篇。近年来,以第一/通讯作者身份发表的SCI、EI论文如下:
2024年(目前)发表论文:
[1] Yan W, Gu G, Xu Y, …, Wan M*. Twofold Structured Features-Based Siamese Network for Infrared Target Tracking[J]. IEEE Transactions on Computational Social Systems, 2024. (early access)
[2] Xu Y, Shao A, Kong X, …, Wan M*. Infrared Small Target Detection Based on Sub-maximum Filtering and Local Intensity Weighted Gradient Measure[J]. IEEE Sensors Journal, 2024. (early access)
2023年发表论文:
[1] Xu Y, Wan M*, Zhang X, et al. Infrared Small Target Detection Based on Local Contrast-Weighted Multidirectional Derivative[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1-16.
[2] Ma C, Wan M*, Wu J, et al. Light self-Gaussian-attention vision transformer for hyperspectral image classification[J]. IEEE Transactions on Instrumentation and Measurement, 2023.
[3] Ma C, Wan M*, Kong X, et al. Hybrid spatial-spectral generative adversarial network for hyperspectral image classification[J]. JOSA A, 2023, 40(3): 538-548.
[4] Wan M*, Huang Q, Xu Y, et al. Global and local multi-feature fusion-based active contour model for infrared image segmentation[J]. Displays, 2023, 78: 102452.
[5] Xu Y, Chen X, Wan M*, et al. Infrared small target detection method based on multidirectional derivative and local contrast difference[C]//Optoelectronic Imaging and Multimedia Technology IX. SPIE, 2023, 12317: 98-106.
[6]王佳节,万敏杰*,张晓杰等.利用偏振图像加权融合及CLAHE算法的水下成像方法[J].飞控与探测,2023,6(01):86-94.
2022年发表论文:
[1] Xu X, Wan M*, Ge J, et al. ColorPolarNet: Residual dense network-based chromatic intensity-polarization imaging in low-light environment[J]. IEEE Transactions on Instrumentation and Measurement, 2022, 71: 1-10.
[2] Wang J, Wan M*, Gu G, et al. Periodic integration-based polarization differential imaging for underwater image restoration[J]. Optics and Lasers in Engineering, 2022, 149: 106785.
[3] Wang J, Wan M*, Cao X, et al. Active non-uniform illumination-based underwater polarization imaging method for objects with complex polarization properties[J]. Optics Express, 2022, 30(26): 46926-46943.
[4] Ma C, Wan M*, Xu Y, et al. Infrared target tracking based on proximal robust principal component analysis method[J]. Applied Intelligence, 2022, 52(3): 2785-2800.
[5] Chen Y, Wan M*, Xu Y, et al. Unsupervised end-to-end infrared and visible image fusion network using learnable fusion strategy[J]. JOSA A, 2022, 39(12): 2257-2270.
[6] Chen X, Xu Y, …, Wan M*. Compressive Bidirectional Reflection Distribution Function-Based Feature Extraction Method for Camouflaged Object Segmentation[J]. Photonics, 2022, 9(12): 915.
[7] Chen X, Zhou L, …, Wan M*. Infrared ocean image simulation algorithm based on Pierson–Moskowitz spectrum and bidirectional reflectance distribution function[J]. Photonics, 2022, 9(3): 166.
[8] Chen Y, Wan M*, Xu Y, et al. Residual learning-based two-stream network for RGB-T object tracking[J]. Journal of Electronic Imaging, 2022, 31(6): 063041-063041.
[9] 赵思娴,万敏杰*,钱惟贤等.可见光视频去噪及其FPGA硬件实现[J].光学精密工程,2022,30(15):1868-1879.
[10] 陈雪琦,万敏杰*,许运凯等.地球临边场景红外遥感成像仿真方法[J].红外与激光工程,2022,51(02):24-31.
2021年发表论文:
[1] Wan M*, Gu G, Xu Y, et al. Total variation-based interframe infrared patch-image model for small target detection[J]. IEEE Geoscience and Remote Sensing Letters, 2021, 19: 1-5.
[2] Wan M*, Ye X, Zhang X, et al. Infrared small target tracking via gaussian curvature-based compressive convolution feature extraction[J]. IEEE Geoscience and Remote Sensing Letters, 2021, 19: 1-5.
[3] Xu Y, Wan M*, Chen Q, et al. Hierarchical convolution fusion-based adaptive Siamese network for infrared target tracking[J]. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 1-12.
[4] Huang Q, Zhou W, Wan M*, et al. Multi-feature driven active contour segmentation model for infrared image with intensity inhomogeneity[J]. Optical and Quantum Electronics, 2021, 53: 1-24.
[5] Yang J, Wan M*, Qian W, et al. Bandwidth extension method based on the field-shunting effect in a high-gain photoelectric receiver circuit[J]. Applied Optics, 2021, 60(31): 9748-9756.
[6] Wan M*, Xu Y, Huang Q, et al. Single frame infrared small target detection based on local gradient and directional curvature[C]//Optoelectronic Imaging and Multimedia Technology VIII. SPIE, 2021, 11897: 99-107.
[7] 陈欣,万敏杰*,马超等.采用多尺度特征融合SSD的遥感图像小目标检测[J].光学精密工程,2021,29(11):2672-2682.(封面文章)
受篇幅限制,所做工作无法一一列举,其他年份发表的论文详见本人Google学术主页:?Minjie Wan? - ?Google 学术搜索?(点击链接跳转)。
夜视成像探测实验室(INVID Lab)依托于光学工程国家重点一级学科(第五轮教育部学科评估光学工程进入A类学科,2022软科中国最好学科排名光学工程名列全国排名第六),隶属于长江学者创新团队、全国首批黄大年式教学团队、江苏省光谱成像与智能感知重点实验室、教育部高维信息智能感知与系统重点实验室、教育部先进光电成像理论与技术学科创新引智基地等多个高层次研究平台。
团队长期从事光电成像探测与专用芯片研制方面的科学研究,开放硕士、博士研究生学位攻读名额,同时也欢迎优秀本科生加入科研训练、毕业设计及科研实习行列。目前,课题组面向研究生的重点培养方向如下:
[1] 红外/微光/高光谱成像机制与图像处理算法研发(侧重深度学习算法设计方面的技能培养);
[2] 人工智能技术的国产化嵌入式平台编程与专用ISP芯片开发(侧重深度学习模型的硬件化编程);
[3] 真空/固态夜视成像器件的测试研发(侧重测试光路搭建与测试软件编程)。
【招生信息】欢迎2021级电光学院电子信息大类(电子科学与技术、光电信息科学与工程、微电子科学与工程、电子信息工程等)、物理学院光电信息科学与工程(理)等专业保研、考研的优秀学子,以及外校相关专业的优质考生报考课题组研究生,同时也诚挚邀请有攻读博士学位意向的本科生(硕博连读、直博)和硕士毕业生加入我们团队。课题组项目研究经费充足,学习氛围浓厚,承诺入学后配备台式机、服务器、嵌入式开发平台等科研工具,每年提供参加国际学术会议的机会。有意愿报考的同学请以邮件形式与我联系:minjiewan1992@njust.edu.cn!
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