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副教授，博导，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。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。

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

2013.09－2018.06  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

2009.09－2013.06  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 C. Li, Z. Li, X. Liu(*), S. Li, “The Influence of Image Degradation on Hyperspectral Image Classification”. Remote Sensing, vol. 14, no. 20: 5199, 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 L. Fang, P. Zhou, X. Liu(*), P. Ghamisi, S. Chen, “Context Enhancing Representation for Semantic Segmentation in Remote Sensing Images,” IEEE Transactions on Neural Networks and Learning Systems, 2022, doi: 10.1109/TNNLS.2022.3201820.

l 李聪妤, 刘家奇, 刘欣鑫(*), 李树涛, 康旭东, “适应复杂区域的时序SAR影像洪水监测与分析,” 遥感学报, 2022, doi: 10.11834/jrs.20211228.

l B. Yang, Y. Mao, L. Liu, X. Liu, Y. Ma, J. Li, "From Trained to Untrained: A Novel Change Detection Framework Using Randomly Initialized Models with Spatial–Channel Augmentation for Hyperspectral Images," IEEE Transactions on Geoscience and Remote Sensing, vol. 61, Art no. 4402214, pp. 1-14, 2023.

l C. Li, J. Liu, X. Liu(*), X. Kang and S. Li, "Combining Time-Series Variation Modeling and Fuzzy Spatiotemporal Feature Fusion: A Novel Approach for Unsupervised Flood Mapping Using Dual-Polarized Sentinel-1 SAR Images," IEEE Transactions on Geoscience and Remote Sensing, vol. 61, Art no. 4208215, pp. 1-15, 2023.

l C. Li, X. Liu and S. Li, "Transformer Meets GAN: Cloud-Free Multispectral Image Reconstruction via Multisensor Data Fusion in Satellite Images," IEEE Transactions on Geoscience and Remote Sensing, vol. 61, Art no. 5408513, pp. 1-13, 2023.

l Y. Li, J. Li, J. He, X. Liu and Q. Yuan, "An Optimization-Driven Network With Knowledge Prior Injection for HSI Denoising," IEEE Transactions on Geoscience and Remote Sensing, vol. 61, Art no. 5531717, pp. 1-17, 2023.

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.

基于排序域方向梯度直方图约束的遥感影像去条带方法, ZL202310163553.8, 授权公告日, 2023.4.25.

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-空-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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