姓名：聂祥丽   性别：女    职称：副研究员

联系方式：xiangli.nie@ia.ac.cn，010-82544625

研究领域：

开放环境智能感知与决策；在线持续学习；遥感图像解译；机器视觉

个人主页：http://people.ucas.edu.cn/~niexiangli

教育经历：

2010/09–2015/06，中国科学院数学与系统科学研究院，计算数学，博士

2006/09–2010/06，山东大学，数学学院，统计专业，学士

工作经历：

2019/11–至今，中国科学院自动化研究所，复杂系统管理与控制国家重点实验室，副研究员

2017/05-2018/08，纽约大学 坦登工程学院，访问学者

2015/07–2019/10，中国科学院自动化研究所，复杂系统管理与控制国家重点实验室，助理研究员

主持科研项目：

1.  面向极化SAR数据解译的在线持续学习方法研究, 主持, 国家级, 2021-01--2024-12

2.  基于多视角学习的极化合成孔径雷达数据的快速在线分类算法研究, 主持, 国家级, 2017-01--2019-12

3.  基于脑认知计算模型的极化合成孔径雷达数据分类研究, 主持, 省级, 2017-01--2018-12

4.  基于多源遥感图像数据融合的地物分类算法研究, 主持, 国家级, 2018-12--2020-06

5.  面向飞机对抗的智能感知与决策算法研究, 主持, 国家级, 2021-07--2023-07

6.  移动机器人认知技术研究, 参与, 省级, 2016-01--2018-12

学术论文：

发表学术论文20余篇，部分成果如下：

[1]    X. Nie*, M. Fan, X. Huang, W. Yang, B. Zhang, X. Ma, “Online Semi-supervised Active Learning for Multi-view PolSAR Data Classification.” IEEE Transactions on Cybernetics, Digital Object Identifier: 10.1109/TCYB.2020.3026741. (SCI, IF: 11.079)

[2]    X. Nie*, R. Gao, R. Wang, D. Xiang, “Online Multi-view Deep Forest for Remote Sensing image Classification via Data Fusion.” IEEE Geoscience and Remote Sensing Letters, DOI：10.1109/LGRS.2020.3002848. (SCI, IF: 3.833)

[3]    X. Nie, S. Ding, X. Huang, H. Qiao, B. Zhang, Z.-P. Jiang, “An Online Multi-view Learning Algorithm for PolSAR Data Real-time Classification.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 1, pp. 302–320, 2019. (SCI, IF: 3.827)

[4]    X. Nie, H. Qiao, B. Zhang, X. Huang, “A Nonlocal TV-based Variational Method for PolSAR Data Speckle Reduction,” IEEE Transactions on Image Processing, vol. 25, no. 6, pp. 2620–2634, 2016. (SCI, IF: 9.34)

[5]    X. Nie, H. Qiao, B. Zhang, “A Variational Model for PolSAR Data Speckle Reduction Based on the Wishart Distribution,” IEEE Transactions on Image Processing, vol. 24, no. 4, pp. 1209-1222, 2015. (SCI, IF: 9.34)

[6]    X. Nie, B. Zhang, Y. Chen, H. Qiao, “A New Algorithm for Optimizing TV-Based PolSAR Despeckling Model”, IEEE Signal Processing Letters, Vol. 23, no. 10, pp. 1409–1413, 2016. (SCI, IF: 3.105)

[7]    X. Nie*, X. Huang, W. Feng, “A New Nonlocal TV-based Variational Model for SAR Image Despeckling Based on the G0 Distribution,” Digital Signal Processing, 68 (2017)44-56. (SCI, IF: 2.871)

[8]    聂祥丽*，黄夏渊，张波，乔红，极化合成孔径雷达图像相干斑抑制和分类方法综述, 自动化学报，2019, 45(8): 1419-1438. (期刊，中文核心)

[9]    X. Huang, H. Qiao, B. Zhang, X. Nie*, “Local discriminant canonical correlation analysis for supervised PolSAR image classification,” IEEE Geoscience and Remote Sensing Letters, 14(11), 2102-2106, 2017. (SCI, IF: 3.833)

[10] S. Ding, X. Nie, H. Qiao, B. Zhang, “A Fast Algorithm of Convex Hull Vertices Selection for Online Classification,” IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 4, pp. 792–806, 2018. (SCI, IF: 8.793)

[11] X. Huang, X. Nie, H. Qiao, B. Zhang, “SAR Target Configuration Recognition Based on the Biologically Inspired Visual Model,” Neurocomputing, 234 (2017) 185–191. (SCI, IF: 4.438)

[12] Xiayuan Huang, Xiangli Nie, Hong Qiao, PolSAR Image Feature Extraction via Co-Regularized Graph Embedding Wishart distance, Remote Sensing, 2020, 12, 1738. (SCI, IF: 4.509)

[13] X. Huang, H. Qiao, B. Zhang, X. Nie, “Supervised Polarimetric SAR Image Classification Using Tensor Local Discriminant Embedding,” IEEE Transactions on Image Processing, vol. 27, no. 6, pp. 2966–2979, 2018. (SCI, IF: 9.34)

[14] X. Nie*, Y. Luo, B. Zhang, H. Qiao, Z.-P. Jiang, “An Incremental Multi-view Active Learning Algorithm for PolSAR Data Classification,” in Proc. 24th IEEE Int. Conf. Pattern Recogn. (ICPR2018), IEEE, 2018. (会议，EI)

[15] X. Nie*, S. Ding, H. Qiao, B. Zhang, X. Huang, “PolSAR Data Online Classification Based on Multi-view Learning.” in Proc. 24th IEEE International Conference on Image Processing (ICIP2017), IEEE, 2017, pp. 2354–2358. (会议，EI)

授权专利：

[1]    基于多视角学习的极化SAR数据分类器实时更新方法, 聂祥丽，黄夏渊，丁曙光，张波，乔红，国家发明专利号:ZL 201711482208.1 (专利)

[2]    基于多视角主动学习的在线半监督学习方法及系统, 聂祥丽，黄夏渊，贾立好，乔红, 发明专利申请号：201910539276.X (专利)

[3]    基于深度森林的在线多视角分类方法, 聂祥丽，高若飞，项德良，樊明宇，乔红，国家发明专利号:ZL 201910502702.2 (专利)

[4]    极化SAR图像有监督分类方法及装置，黄夏渊，聂祥丽，乔红，张波，国家发明专利号:ZL201810036297.5(专利)