团队信息
l团队名称：智能遥感与数据分析团队
l团队类型：科研为主型团队
l团队成员：
Ø郝思媛，博士，副教授，硕士生导师，IEEE Member，CCF会员，长期从事遥感影像处理工作，主持国家青年基金和面上项目各1项，山东省自然基金培养项目1项，发表论文20余篇，其中行业内认可度较高的期刊8篇，授权专利1项，瑞士洛桑联邦理工博士后2年。
Ø赵锟，博士，副教授，硕士生导师，IEEE Member，ACM Member，CCF会员，青岛理工大学BIM研发中心技术顾问，研究方向包括机器学习、计算机视觉与复杂性科学，发表论文20余篇，参与和主持863计划、国家科技重大专项、国家自然科学基金、山东省自然科学基金等多项科研项目。
Ø周立俭，博士、教授，硕士生导师，IEEE Member，CCF会员，长期从事图像处理、识别、解译、深度学习等方面的研究工作，先后主持和参与科研项目10余项，发表论文30余篇，其中21篇被EI/SCI收录，澳大利亚科廷大学访学半年。
Ø易宏杰，博士，讲师，硕士生导师，CCF会员，研究方向包括图像处理、模式识别、大数据，主持研发山东省农产品流通标准化平台、进口汽车检验监管系统信息平台、山东省农产品食品链全过程标准体系建立示范区企业评价及追溯信息系统等多项大数据平台，具有丰富的产业项目经验。
l团队简介：
青岛理工大学智能遥感与数据分析团队是一支梯队全面覆盖产学研，长期从事遥感图像处理、机器学习和智能数据分析关理论研究，并围绕关键技术展开产业应用的研究团队。该团队在高光谱遥感图像分析、多模态遥感数据智能分析、产业数据分析、复杂信号处理等领域都有一定的理论和实践基础。团队分工明确，优势互补，注重多学科交叉与协同创新，合作氛围融洽，是一支充满科研热情、思维活跃、紧跟前沿的队伍。
l团队成果：
Ø项目
1.国家自然科学面上基金：基于递归结构的遥感影像智能解译方法研究，2022/01-2024/12，研究经费56万，主持。
2.国家自然科学青年基金：深层网络下高光谱遥感影像特征表达与融合，2018/01-2020/12，研究经费27万，主持。
3.山东省自然科学基金培养基金：深度学习框架下高光谱图像空-谱特征提取与融合，2017/07-2018/12,研究经费4万，主持。
4.科技部, 863计划, 2013AA01A603,面向城市运行管理的数据高性能分析技术与系统, 2013-01至2015-12, 723万元,结题,参与。
5.工信部,国家科技重大专项, 2013ZX01033002-003,高清晰度实时视频监控SoC研发及应用, 2013-01至2015-12, 3627万元,结题,参与。
6.山东省科技厅,山东省自然科学基金培养基金, ZR2014FP003,基于复杂网络的视觉特征提取平台及其关键技术研究, 2014-12至2016-12, 4万元,结题,主持。
7.山东省教育厅,山东省高等学校科技计划, J14LN25,应用复杂网络提取视觉特征的关键技术研究, 2014-01至2016-12, 5.6万元,结题,主持。
8.青岛市科技局,青岛市应用基础研究计划项目青年专项, 17-1-1-2-jch,基于复杂网络的动态纹理识别技术研究, 2017-03至2020-08, 10万元,结题,主持。
9.中石化研究院国家重大专项服务子课题：基于深度学习的陆相页岩油储层岩性预测与弹性-物性关系分析，17.8万元，主持。
10.国家自然基金项目：层次式集成电路知识产权（IP）保护指纹方法研究，63万元，参与。
11.山东省重点研发项目：基于3D视觉的轮胎成型工艺缺陷实时监测系统研发，20万元，参与。
12.山东省高等学校科技计划：基于多小波的遥感图像融合系统研究，5万元，主持。
13.山东省农产品流通标准化平台设计开发（B2-2015-0134）：安徽易商数码科技有限公司 70万 一阶段已通过验收 二阶段在研。
14.进口汽车检验监管系统信息平台开发（B2-2016-0034）：中华人民共和国青岛出入境检验检疫局 5万 已通过质检总局验收鉴定 正进行评奖等相关工作。
15.山东省农产品食品链全过程标准体系建立示范区企业评价及追溯信息系统（B2-2016-0033）：中国质量认证中心 48万在研
Ø论文
[1]Hao Siyuan; Wang Wei; Ye Yuanxin; Nie Tingyuan; Bruzzone Lorenzo; Two- Stream Deep Architecture for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(4):2349-2361. (JCR一区，SCI)
[2]Hao Siyuan; Wang Wei; Ye Yuanxin; Li Enyu; Bruzzone Lorenzo; A Deep Network Architecture for Super-Resolution-Aided Hyperspectral Image Classification With Classwise Loss, IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(8): 4650-4663. (JCR一区，SCI)
[3]Siyuan, Hao; Wei, Wang; Mathieu, Salzmann; Geometry-Aware Deep Recurrent Neural Networks for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 2020, 12(2):1-13. (JRC一区，SCI)
[4]郝思媛;周立俭;赵琨;浅谈深度学习的发展及其在“图像处理”的应用,科技视界, 2017, (14):0-58. (教改论文)
[5]Ye, Yuanxin; Shan, Jie; Hao, Siyuan*; Bruzzone, Lorenzo; Qin, Yao; A local phase based invariant feature for remote sensing image matching, ISPRS Journal of Photogrammetry and Remote Sensing, 2018, 142:205-221. (SCI)
[6]Ye Yuan-Xin; Hao, Siyuan*; Cao Yun-Gang; Automatic registration of optical and SAR image using geometric structural properties, Journal of Infrared and Millimeter Waves, 2017, 36(6):720-726. (SCI)
[7]Kun Zhao, Yongkun Liu, Siyuan Hao, Shaoxing Lu, Hongbin Liu, Lijian Zhou*, Bounding Boxes Are All We Need: Street View Image Classification via Context Encoding of Detected Buildings, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022 (Early Access, DOI: 10.1109/TGRS.2021.3064316)
[8]Kun Zhao*, Xue-Cheng Sun, Zhe-Ming Lu, Li-Jian Zhou, Ting-Yuan Nie and Si-Yuan Hao, BoW-MSN: A Novel Texture Classification Approach, Journal of Information Hiding and Multimedia Signal Processing, 2018, 9(5): 1079-1090
[9]Kun Zhao*, Zheming Lu, Tingyuan Nie, Lijian Zhou and Zeju Wu, Robust Texture Classification Based on Hybrid Features of Complex Networks, ICIC Express Letters Part B: Applications, 2017, 8(9): 1323-1329
[10]Kun Zhao, Zheming Lu*, Tingyuan Nie, Yansheng Li, Chuanwang Song, An Improved Two-Phased Approximation of Minimum Connected Dominating Sets in Unit Disk Graphs Using Two-Hop Degree Centrality, International Journal of Innovative Computing, Information and Control, 2016, 12(5): 1553-1564
[11]Kun Zhao, Jie Sun, Zhe-Ming Lu*, Jian Wang, Li-Jian Zhou, Non-rigid Video Object Extraction Based on Semantic Multi-level Framework, Journal of Information Hiding and Multimedia Signal Processing, 2014, 5(4): 719-730
[12]Kun Zhao, Wenjun Zhang, Wen Si*, Semantic Relationships-Preserving Surface Mapping for Image Vectorization, International Journal of Digital Content Technology and its Applications, 2012, 6(1): 263-270
[13]Kun Zhao, Wenjun Zhang*, Wei Li, Multi-Level Objects Based Image Vectorization with Semantic Interaction, International Journal of Advancements in Computing Technology, 2012, 4(1): 231-238
[14]Tingyuan Nie*, Xinling Guo, Mengda Lin and Kun Zhao, Evaluation of invulnerability of scale-free networks using total information of local sub-graph, International Journal of Modern Physics C, 2018, 29(8): 1850075-1-12
[15]Hong Ye, Xue-Cheng Sun, Zhe-Ming Lu, Xiao-Dan Jiang, Kun Zhao and Ting-Yuan Nie, Interest Point Detection Using a Composite Index of Complex Networks, Journal of Information Hiding and Multimedia Signal Processing, 2018, 9(2): 265-273
[16]Tingyuan Nie*, Zheng Guo, Kun Zhao, Zhe-Ming Lu, The Dynamic Correlation between Degree and Betweenness of Complex Network under Attack, Physica A: Statistical Mechanics and its Applications, 2016, 457: 129-137
[17]Tingyuan Nie*, Zheng Guo, Kun Zhao, Zhe-Ming Lu, Using mapping entropy to identify node centrality in complex networks, Physica A: Statistical Mechanics and its Applications, 2016, 453: 290-297
[18]Feifei Liu, Lijian Zhou, Zheming Lu* and Kun Zhao, Palmprint Recognition Based on Curvelet and Local Directional Pattern, ICIC Express Letters, Part B: Applications, 2016, 7(2): 443-448
[19]Xuecheng Sun, Kun Zhao, Zheming Lu*, Tingyuan Nie and Lijian Zhou, Scale-Invariant Interest Point Detection in Images Based on Complex Network Analysis, ICIC Express Letters, Part B: Applications, 2016, 7(3): 525-530
[20]Tingyuan Nie*, Zheng Guo, Kun Zhao, Zhe-Ming Lu, New attack strategies for complex networks, Physica A: Statistical Mechanics and Its Applications, 2015, 424(15): 248-253
[21]Sun Jie, Zhe-Ming Lu*, Li-Jian Zhou, Zhao Kun, Eyelash Removed Iris Recognition with Local Gabor Filters Based on Energy, ICIC Express Letters, Part B: Applications, 2015, 6(7): 1761-1766
[22]Zhao Kun, Zhang Wenjun*, Jiang Yan, Semantic interactions in multi-level objects segmentation, Proceedings of 2010 International Conference on Computational and Information Sciences (ICCIS2010), 2010, 665-668
[23]Wang Jian, Mei Lin*, Li Yi, Li Jian-Ye, Zhao Kun, Yao Yuan, Variable window for outlier detection and impulsive noise recognition in range images, Proceedings of 14th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, 2014, 857-864
[24]Zhou L , Wang H , Lin S , et al. Face recognition based on local binary pattern and improved Pairwise-constrained Multiple Metric Learning[J]. Multimedia Tools and Applications, 2020, 79(5): 675-691. (SCIE, EI)
[25]Lijian Zhou, Han Guo, Shanshan Lin, Siyuan Hao, Kun Zhao. Combining multi-wavelet and CNN for palmprint recognition against noise and misalignment. IET Image Processing, 2019, 13(9): 1470-1478. (SCIE, EI)
[26]Lijian Zhou, Hui Wang, Wanquan Liu, Zhe-Ming Lu. Face feature extraction and recognition via local binary pattern and two-dimensional locality preserving projection [J]. Multimedia Tools and Applications.2019, 67(3):1-17. (SCIE, EI)
[27]Lijian Zhou, Zuowei Wang, Han Guo, Siyuan Hao and Zhao Zhun, Palm-print Recognition based on CNN against Rotation and Noise[J]. Journal of Information Hiding and Multimedia Signal Processing, 2018, 9(6): 1603-1612. (EI)
[28]Lijian Zhou , Chen Zhang, Zuowei Wang , et al. Hierarchical palmprint feature extraction and recognition based on multi-wavelets and complex network[J]. IET Image Processing, 2018, 12(6):985-992. (SCIE, EI)
[29]Lijian Zhou, Chen Zhang, Zhe-Ming Lu, Kun Zhao and Tingyuan Nie. Palmprint Feature Extraction based on Multi-wavelet and Complex network[J]. Journal of Information Hiding and Multimedia Signal Processing, 2017, 8(3):589-598. (EI)
[30]Lijian Zhou, Hui wang, Zhe-Ming Lu, Tingyuan Nie and Kun Zhao. Face Recognition Based on LDA and Improved Pairwise-Constrained Multiple Metric Learning Method. Journal of Information Hiding and Multimedia Signal Processing, 2016, 7(5):1092-1099(EI)
[31]Lijian Zhou, Tingyuan Nie, Zheming Lu, Feifei Liu. An improved variable illumination face recognition based on multi-wavelet and local binary pattern. ICIC Express Letters, Part B: Applications, 2015, 6(10):2655-2660(EI)
[32]Lijian Zhou, Wanquan Liu, Zheming Lu, Tingyuan Nie. Face recognition based on curvelets and local binary pattern features via using local property preservation. Journal of Systems and Software, 2014, 95(9):209-216 (SCIE, EI)
[33]Lijian Zhou, Yukai Xu, Zheming Lu, Tingyuan Nie. Face recognition based on multi-wavelet and sparse representation. Journal of Information Hiding and Multimedia Signal Processing, 2014, 5(3):399-407(EI)
[34]Lijian Zhou, Wanquan Liu, Zheming Lu, Tingyuan Nie. Face recognition via curvelets and local ternary pattern-based features. IEICE Transactions on Information and Systems, 2014, E97-D(4):1004-1007 (SCIE, EI)
Ø专利及软件著作权
[1]郝思媛、聂廷远.基于类字典的高光谱图像分类方法及装置，中国专利，ZL201611023680.4.(已授权)
[2]赵锟;张晨;孙学成;基于复杂网络的图像特征提取平台, 2016SR012578,原始取得,全部权利, 2015-09-20 (软件著作权)
[3]赵锟;陆哲明;孙学成;张晨;复杂网络生成及分析系统, 2016SR012557,原始取得,全部权利, 2015-09-30 (软件著作权)
