赵玥
姓名９/span>赵玥
职称：教掇/span>
学科９/span>林业电气化自动化
电话９/span>18811300050
E-mail９/span>zhaoyue0609@126.com
研究方向９/span>
1.图像处理与模式识?/span>：/span>
2.机器学习：/span>
3.人脸识别、大数据分析：/span>
导师类别９/span>卙/span>士生导师、硕士生导师
招生方向９/span>
林业电气化与自动化学科博?/span>
林业电气化与自动化学科学硔/span>
电子信息（控制工程、人工智能方向）专硕
欢迎自动匕/span>?/span>人工智能等相关专业考生报考；
主讲课程９/span>
本科生课程：《计算机图像处理》、《信号与系统》、《自动控制理论》、《最优化方法《/span>
研究生课程：《图像处理与模式识别《/span>
教育经历９/span>
2009-2014＋/span>上海交通大学，控制理论与工程，硕博连读，获工学博士学位
2005-2009＋/span>哈尔滨工程大学，测控技术与仪器专业，获工学学士学位
工作经历９/span>
2023-至今＋/span>北京林业大学工学院，教授，博士生导师
2018-2023，北京林业大学工学院，副教授，博士生导师
2014-2018，北京林业大学工学院，讲帇/span>
承担科研课题９/span>
1主持＋/span>国家自然科学基金面上项目＋/span>基于人工智能的冻融交替对黑土优先流路径影响机刵/span>“/span>＋/span>2021-2024.
2主持，国家自然科学基金青年项目，基于冻土四相高精度辨识的黑土孔隙结构与相变耦合“/span>＋/span>2016-2018：/span>
3主持＋/span>北京林业大学中央高校基本科研业务费专项资金项?/span>＋/span>基于深度学习的土壤优先流辨识及形态特征解诐/span>＋/span>2019-2020：/span>
4主持＋/span>北京林业大学科技创新计划项目＋/span>土壤四相结构中冰水含量的驻波比发验证＋/span>2015-2017：/span>
5参与＋/span>国家重点研发计划，核桃集约化采收运输及清洁化预处理成套装备研制，2019-2022：/span>
6参与＋/span>国家重点研发计划，人工林土壤参量与活立木茎干水分采集技术研究，2017：/span>
获奖情况９/span>
1?/span>希青平/span>论文奖二等奖＋/span>事/span>等奖＋/span>2020：/span>
2梁希林业科学技术进步奖＋/span>事/span>等奖＋/span>2018：/span>
3上海市科技进步奕/span>＋/span>三等奖；
主要成果（包括论文、专利、软著、专著等）：
论文成果９/span>
Bai, H., Liu, L., Han, Q., Zhao, Y.,Zhao, Y.*. (2023). A novel UNet segmentation method based on deep learning for preferential flow in soil. Soil & Tillage Research, 233: 105792. (SCI, 1匹/span>TOP, IF: 6.5, Online)
Liu, L., Song, R., Han, Q.,Zhao, Y.*, Zhao, Y. (2023). Vitality characterization of stressed trees based on non-destructive and real-time monitoring of stem water content. Forest Pathology. (SCI, 4匹/span>, IF: 1.4372)
Zhao, Y., Tian, H., Han, Q., Gu, J., Zhao, Y.*. (2021). Real-time monitoring of water and ice content in living woody stem based on latent heat changes. Agricultural and Forest Meteorology, 307.(SCI,1匹/span>Top, IF:5.734)
Han, Q., Liu, L., Zhao, Y.,Zhao, Y.*. (2021). A neighborhood median weighted Fuzzy C-Means method for soil pore identification. Pedosphere, 31(5). (SCI, 2匹/span>, IF: 3.911)
Han, Q., Bai, H., Liu, L., Zhao, Y.,Zhao, Y.*. (2021). Model representation and quantitative analysis of pore three-dimensional morphological structure based on soil computed tomography images. European Journal of Soil Science, 72(4). (SCI, 2匹/span>, IF: 4.949)
Han, Q., Zhou, X., Liu, L.,Zhao, Y.*. (2019). Three-dimensional visualization of soil pore structure using computed tomography. Journal of Forestry Research, 300(3), 1053-1061. (SCI,卓越期刊目录梯队期刊项目＋/span>3匹/span>, IF:1.247)
Zhao, Y., Han, Q., Zhao, Y., Liu, J.*. (2019). Soil pore identification with the adaptive fuzzy C-means method based on computed tomography images. Journal of Forestry Research, 30(3), 1043-1052. (SCI,卓越期刊目录梯队期刊项目＋/span>3匹/span>, IF:1.247)
Han, Q., Zhao. Y., Liu, L., Chen, Y.,Zhao, Y.*. (2019). A Simplified Convolutional Network for Soil Pore Identification Based on Computed Tomography Imagery. Soil Science Society of America Journal, 83(5): 1309‒/span>1318. (SCI, 2匹/span>, TOP, IF:2.405)
Han, Q., Liu, L., Zhao, Y.*,Zhao, Y.*. (2020). Ecological Big Data Adaptive Compression Method Combining 1D Convolutional Neural Network and Switching Idea. IEEE Access, 8(1): 20270-20278. (SCI＋/span>2区，IF:4.098)
Zhao, Y., Su, J.*, Local Sharpness Distribution based Feature Points Matching Algorithm, SPIE Journal of Electronic Imaging, Vol. 23, No. 1, pp. 013011, January 29, 2014. (SCI,4匹/span>,IF:0.924)
Zhao, Y., Su, J.*, New Sparse Facial Feature Description Model based on Salience Evaluation of Regions and Features, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 29, No. 5, August,2015.(SCI,4匹/span>,IF:1.110)
Song, M.; Wang, Y.; Han, Q.; Zhao, Y.;Zhao, Y.*. (2022). Tree recognition based on HSV-corrosion method and SSD method combining colour complexity and adaptive switching idea, 13(2): 174-192. (EI收录)
Xiao, Y., Zhou, A., Zhou, L.,Zhao, Y. *. (2022). Automatic insect identification system based on SE-ResNeXt, International Journal of Systems, Control and Communications, 14(1): 81-98. (EI收录)
Zhao, Y., Zheng, Y.*, Shi, H.; Zhang, L. (2020). Transfer learning-based convolutional neural network image recognition method for plant leaves, International Journal of Circuits, Systems and Signal Processing, 14: 56-62,
Zhao, Y., Su, J.*, Sparse Learning for Salient Facial Feature Description, Proceedings of the IEEE International Conference on Robotics and Automation, pp. 5565 -5570, Hong Kong, China, May 31-June 7, 2014. (EI收录,机器人领域国际顶级会?/span>)
Han Q., Su j*.,Zhao Y. (2019). More adaptive and updatable: an online sparse learning method for face recognition. Journal of Electrical and Computer Engineering, vol. 2019, Article ID 8370835, 7 pages, https://doi.org/10.1155/2019/ 8370835. (EI收录)
韩巧玱/span>,崔树弹/span>,徐钐钏/span>,赵玥*,赵燕丛/span>.基于HSV空间和拟合椭圆的光核桃种核表型自动量化系统构廹/span>[J].农业工程学报,2021,37(20):202-210. (卓越期刊目录梯队期刊项目＋/span>EI收录)
韩巧玱/span>,周希卙/span>,宋润泼/span>,赵玥*.基于序列信息的土壣/span>CT图像趄/span>分辨率重廹/span>[J].农业工程学报,2021,37(17):90-96. (卓越期刊目录梯队期刊项目＋/span>EI收录)
韩巧玱/span>,柏浩,赵玥*,赵燕丛/span>,徐向泡/span>,李继纡/span>.采用染色示踪技术的土壤优先流自动分割与野/span>化系绞/span>[J].农业工程学报,2021,37(06):127-134.(卓越期刊目录梯队期刊项目＋/span>EI收录)
韩巧玱/span>,赵玥*,赵燕丛/span>,刘克雃/span>,庞曼.基于全卷积网络的土壤断层扫描图像中孔隙分剱/span>[J].农业工程学报,2019,35(02):128-133. (卓越期刊目录梯队期刊项目＋/span>EI收录)
韩巧玱/span>,赵玥,赵燕丛/span>,潘贤吚/span>,彭涌,郑一劚/span>*.基于细化法的土壤孔隙骨架提取算法研究[J].农业机械学报,2019,50(09):229-234. (EI收录)
赵玥,韩巧玱/span>,赵燕丛/span>*.基于灰度-梯度特征的改迚/span>FCM土壤孔隙辨识方法[J].农业机械学报,2018,49(03):279-286. (EI收录)
赵玥,刘雷,韩巧玱/span>,赵燕丛/span>*.基于CT图像的土壤孔隙结构重枃/span>[J].农业机械学报, 2018, 49(S1): 401-406. (EI收录)
赵玥,谢辉干/span>,高超,赵燕丛/span>*.基于K-SVD基的林区监测站数据采集方法研穵/span>[J].农业机械学报, 2018, 49(S1): 365-371. (EI收录)
赵玥,韩巧玱/span>,赵燕丛/span>*.基于CT扫描技术的土壤孔隙定量表达优化[J].农业机械学报,2017,48(10):252-259. (EI收录)
韩巧玱/span>,赵玥,姚立纡/span>*.基于冻融循环的土壤物理状态的自动判别[J].浙江农业学报,2017,29(07):1189-1194. (CSCD-C)
赵玥,韩巧玱/span>,赵燕丛/span>,刘晋?/span>.基于CT无损扫描技术的冻土内部物质研究现状与分枏/span>[J].冰川冻土,2017,39(06):1307-1315. (CSCD-C)
专利成果９/span>
韩巧玲，周希博，赵玥，赵燕东，刘雷，基于土壤CT图像的超分辨率重建方法及装置，专利号９/span>ZL 2021 1 0727642.1＋/span>2023，已授权、/span>
赵玥，刘雷，韩巧玲，赵燕丛/span>.基于模糊聚类的土壤孔隙三维分割方法及系统，专利号９/span>ZL201910470245.3＋/span>2021，已授权、/span>
赵玥，韩巧玲，赵燕东，许瀚杰，刘零/span>.基于土壤CT图像的孔隙辨识方法及系统，专利号９/span>ZL201811325236.7＋/span>2020，已授权、/span>
赵玥，赵健，茸/span>昉/span>.一种基于图像特征描述的散斑图像质量识别方法及系统，专利号：ZL201610851597.X＋/span>2019，已授权、/span>
王科俉/span>,贱/span>晛烨,赵玥,基于视频的正面步态周期检测方泔/span>, 2009,已授杂/span>.
赵玥,苏剑泡/span>,一种基于图像尖锐度分布的特征点匹配方法, 2013,已授杂/span>.
王亚卖/span>,苏剑泡/span>,赵玥,可见光与近红外融合的人脸识别方法及系绞/span>, 2013,已授杂/span>.
韩巧玲，刘雷，赵燕东＋/span>赵玥，席本野，宋美慧，李晨曦.基于改进SSD神经网络的统计树木数量的方法及系统，申请号：202010635369.5＋/span>2020，实质审查、/span>
韩巧玲，赵玥，赵燕东，席本野，徐钏/span>钏/span>，杨阳，王禹沢/span>.基于切换思想的无人机航拍树木自适应分割方法及系统，申请号：202010548394.X＋/span>2020，实质审查、/span>
软件著作杂/span>
改进HSV+FCM算法的土壤优先流图像分割系统V1.0，登记号2021SR0511817,2021
基于颜色和聚类的航拍数目图像分割平台V1.0，登记号2020SR0258484,2020
基于改进FCM法的土壤孔隙分割系统V1.0，登记号2018SR698636＋/span>2018
基于三维佒/span>素的土壤孔隙分割软件V1.0，登记号2018SR698635＋/span>2018
基于土壤CT图像的孔隙分割软仵/span>V1.0，登记号2018SR698634＋/span>2018
