刘欣鑫

个人简介

刘欣鑫,女,九三学社社员。现为湖南大学电气与信息工程学院助理教授,硕导,主要从事遥感影像处理与分析方面的研究。近年来,主持国家自然科学基金项目1项,湖南省自然科学基金青年基金1项,中央高校科研项目1项,参与国家自然科学基金多项,国防预研项目1项。曾获第23届国际摄影测量与遥感大会青年论坛最佳论文奖(唯一),2017年测绘科技进步奖一等奖,在国内外期刊发表学术论文多篇,获国家授权发明专利2项。

联系方式: liuxinxin@hnu.edu.cn


学习工作经历

2018.06-至今  湖南大学,电气与信息工程学院,控制科学与工程系,助理教授,副教授

2013.092018.06  武汉大学,资源与环境科学学院,地图学与地理信息系统,博士

2009.092013.06  武汉大学,资源与环境科学学院,地理信息系统,学士


主讲本科课程

C++面向对象程序设计(含大量代码演示及练习,零基础可学)

智能信息处理(含多类智能算法的代码讲解及demo演示,能快速上手)


近年代表性研究成果

l X. Liu, X. Lu, H. Shen, Q. Yuan, Y. Jiao, L. Zhang, “Stripe Noise Separation and Removal in Remote Sensing Images by Consideration of the Global Sparsity and Local Variational Properties,” IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 5, pp. 3049-3060, 2016.

l X. Liu, H. Shen, Q. Yuan, X. Lu, C. Zhou, “A Universal Destriping Framework Combining 1D and 2D Variational Optimization Methods,” IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 2, pp: 808–822, 2018.

l X. Liu, X. Lu, H. Shen, Q. Yuan, L. Zhang, “Oblique Stripe Removal in Remote Sensing Images via Oriented Variation,” arXiv: 1809. 02043, 2018.

l J. Li, X. Liu, Q. Yuan, H. Shen, L. Zhang, “Antinoise Hyperspectral Image Fusion by Mining Tensor Low-Multilinear-Rank and Variational Properties,” IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 10, pp: 7832-7848, 2019.

l Q. Zhang, Q. Yuan, J. Li, X. Liu, H. Shen, L. Zhang, “Hybrid Noise Removal in Hyperspectral Imagery with a Spatial–Spectral Gradient Network,” IEEE Transactions on Geoscience and Remote Sensing. vol. 57, no. 10, pp: 7317-7329, 2019.

l H. Fan, J. Li, Q. Yuan, X. Liu, M. Ng, “Hyperspectral image denoising with bilinear low rank matrix factorization,” Signal Processing, vol. 163, pp: 132-152, 2019.

l X. Liu(*), H. Shen, Q. Yuan, X. Lu, S. Li, "One-Step High-Quality NDVI Time-Series Reconstruction by Joint Modeling of Gradual Vegetation Change and Negatively Biased Atmospheric Contamination," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, Art no. 4407017, pp. 1-17, 2022.

l B. Yang, L. Qin, J. Liu, X. Liu(*), "UTRNet: An Unsupervised Time-Distance-Guided Convolutional Recurrent Network for Change Detection in Irregularly Collected Images," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, Art no. 4410516, pp. 1-16, 2022.

l B. Yang, L. Qin, J. Liu, X. Liu(*), "IRCNN: An Irregular-Time-Distanced Recurrent Convolutional Neural Network for Change Detection in Satellite Time Series," IEEE Geoscience and Remote Sensing Letters, vol. 19, Art no. 2503905, pp. 1-5, 2022.

l J. He, Q. Yuan, J. Li, Y. Xiao, X. Liu, Y. Zou, "DsTer: A dense spectral transformer for remote sensing spectral super-resolution," International Journal of Applied Earth Observation and Geoinformation, vol. 109, Art no. 102773, pp. 1-13, 2022.

l S. Zhao, Q. Yuan, J. Li, Y. Hu, X. Liu, L. Zhang, "A Fast and Effective Irregular Stripe Removal Method for Moon Mineralogy Mapper (M3)," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, Art no. 4600119, pp. 1-19, 2022.

l X. Liu, H. Shen, Q. Yuan, et al., “A Novel Removal Method for Dense Stripes in Remote Sensing Images,” ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences, 2016, III-6:57-61. (Best Paper Award)


发明专利

一维信号处理引导下的遥感影像条带噪声快速滤除方法, ZL201510613994.9, 授权公告日, 2018.1.12.

遥感图像语义分割方法、装置、计算机设备和存储介质, ZL202110562979.1, 授权公告日, 2021.8.6.


科研在研项目

国家自然科学基金(青年): 高光谱遥感影像复杂非线性条带噪声的去除方法研究 (61901166), 2020.01-2022.12, 主持.

中央高校基本科研业务费: 高光谱遥感影像混合噪声自适应处理方法研究(531118010209), 2018.09-2022.12, 主持.

湖南省自然科学基金(青年): 面向洞庭湖芦苇监测的时--谱抗扰融合技术, (2022JJ40054), 2022.01-2024.12, 主持.

国家自然科学基金(面上): 户外复杂动态场景机器人三维语义分割与目标检测技术(61973106), 2020.01-2023.12, 参与.

国家自然科学基金(面上): 面向无约束监控场景的噪声人脸图像鲁棒超分辨率技术研究(62071174), 2021.01-2024.12, 参与.

国家自然科学基金(重大项目): 多维高分辨图像解混、重构、融合与増强方法硏究(61890962), 2019.01-2023.12, 参与.


学术奖励

2016, XXIII ISPRS Congress “Youth Forum Best Paper Award”.

2017, 测绘科学技术进步奖一等奖, 多成因辐射退化遥感数据的质量改善理论、方法与应用. (完成人之一)



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