姓名：周立凡

职称：副教授

电子邮箱：zhoulifan@szut.edu.cn

研究方向：遥感图像处理；计算机视觉；机器学习；深度学习

周立凡，副教授。IEEE高级会员和CCF高级会员。2006年6月，武汉大学地理信息系统方向本科毕业；2014年6月，浙江大学遥感与地理信息系统方向博士研究生毕业，师从我国海洋遥感专家潘德炉院士；2016年至2017年，香港中文大学太空与地球信息科学研究所访问学者合作导师林珲院士。2022年，电子科技大学资源与环境学院访问学者合作导师于瀚雯教授。2024年至2025年，苏州大学未来科学与工程学院访问学者合作导师王进教授。江苏省“333”高层次人才培养对象，江苏省六大人才高峰高层次人才培养对象，江苏省科技副总，苏州市科协青年科技人才托举工程，苏州市优秀教育工作者。主要从事计算机视觉和遥感图像处理交叉领域研究工作。在本领域顶级IEEE Transactions期刊等发表学术论文40多篇，其中1篇入选ESI高被引论文，2篇当选封面论文，授权发明专利4项，参与著作编写1部。荣获国家测绘科技进步奖二等奖、中国发明协会创新创业奖二等奖、国家博士奖学金、浙江大学优秀毕业生、苏州市人工智能学会自然科学一等奖。主持国家级项目2项，省部级项目1项，市厅级项目1项，横向项目1项。担任IEEE JSTARS期刊副主编，荣获IEEE JSTARS最佳审稿人。作为骨干教师入选江苏省优秀科技创新团队。

主要承担的教学课程

机器学习；机器视觉；人工智能

研究方向

遥感图像处理；计算机视觉；机器学习；深度学习

主要科研项目

1.《“学习型”干涉SAR单/多基线相位解缠方法研究》国家自然科学基金面上项目（2021-2024）

2.《面向城市DSM构建的Bayes-MRF相位解缠算法研究》国家自然科学基金青年项目（2016-2018）

3.《面向地形测绘和形变监测的InSAR深度学习方法研究》江苏省自然科学基金面上项目（2022-2025）

4.《基于InSAR技术的城市危险建筑物大范围快速识别研究》江苏省第六期“333工程”科研项目（2022-2024）

5.《基于Tomo-PSInSAR的高密度城市区域形变监测方法研究》江苏省 “六大人才高峰”高层次人才项目C类(2018-2021)

6.《基于InSAR的房屋建筑安全天地一体监测关键技术研发》苏州市科技计划项目(2023-2026)

7.《基于卫星干涉雷达的城市建筑形变监测研究》苏州科技大学苏州智慧城市研究院开放课题(2023-2026)

8.《知识驱动下基于深度迁移学习的InSAR相位解缠方法研究》中国测绘科学研究院地理信息工程国家重点实验室、测绘科学与地球空间信息技术自然资源部重点实验室联合开放基金课题(2024-2025)

9.《场景语义增强下基于编解码网络协同去噪的遥感图像小目标检测方法研究》南京大学计算机软件新技术国家重点实验室课题基金(2025-2027)

近期代表性论文

[1] L. Zhou and H. Yu, "MoDL-PU: Model-Based Deep Learning for InSAR Phase Unwrapping," in IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-11, 2025. (SCI 1区，影响因子7.5)

[2] Zhou, X. L. Zhou, H. Feng, W. Liu and H. Liu, "Transformer-Based Semantic Segmentation for Flood Region Recognition in SAR Images," in IEEE Journal on Miniaturization for Air and Space Systems, 2025.

[3] L. Zhou and H. Yu, InSAR-DLPU: A benchmark dataset for deep learning-based synthetic aperture radar interferometry phase unwrapping[J], IEEE Geoscience and Remote Sensing Magazine, 12(2): 118-124, June 2024. (SCI 1区，影响因子14.6)

[4] X. Zhou, L. Zhou, H. Zhang, W. Ji and B. Zhou, "Local-Global Multiscale Fusion Network for Semantic Segmentation of Buildings in SAR Imagery," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, early access, 2024. (SCI 2区，影响因子4.5)

[5] X. Zhou, L. Zhou, S. Gong, S. Zhong, W. Yan and Y. Huang, "Swin Transformer Embedding Dual-Stream for Semantic Segmentation of Remote Sensing Imagery," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 175-189, 2024. (SCI 2区，影响因子4.5)

[6] X Zhou, L. Zhou, S Gong, H Zhang, S Zhong, Y Xia, Y Huang, "Hybrid CNN and Transformer Network for Semantic Segmentation of UAV Remote Sensing Images," in IEEE Journal on Miniaturization for Air and Space Systems, vol. 5, no. 1, pp. 33-41, March 2024.

[7] W. Liu and L. Zhou, "Multilevel Denoising for High-Quality SAR Object Detection in Complex Scenes," in IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-13, 2024. (SCI 1区，影响因子7.5)

[8] W. Liu, L. Zhou, S. Zhong and S. Gong, "Semantic Assistance in SAR Object Detection: A Mask-Guided Approach," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 19395-19407, 2024. (SCI 2区，影响因子4.5)

[9] L. Zhou, H Yu, A Novel Mathematical Framework for Multibaseline InSAR Phase Unwrapping IEEE Transactions on Geoscience and Remote Sensing, 61: 1-9. (SCI 1区，影响因子7.5)

[10] L. Zhou, W Xing, J Zhu, Y Xia, S Zhong, S Gong HRSF-Net: A High-Resolution Strong Fusion Network for Pixel-Level Classification of the Thin-Stripped Target for Remote Sensing System, IEEE Journal on Miniaturization for Air and Space Systems, early Access.

[11] Lifan Zhou; Hanwen Yu*; Vito Pascazio; Mengdao Xing. PU-GAN: An One-step 2-D InSAR Phase Unwrapping based on Conditional Generative Adversarial Network. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-15, Jan 2022. (SCI 1区，影响因子7.5)

[12] H Yu, T Yang, L. Zhou, Y Wang, PDNet: A lightweight deep convolutional neural network for InSAR phase denoising, IEEE Transactions on Geoscience and Remote Sensing 60, 1-9. (SCI 1区，影响因子7.5)

[13]龚声蓉,徐少杰,周立凡等.融入混合注意力的可变形空洞卷积近岸SAR小舰船检测[J].中国图象图形学报,2022,27(12):3663-3676.

[14] Lifan Zhou; Hanwen Yu*; Yang Lan; Mengdao Xing. Artificial Intelligence in Interferometric Synthetic Aperture Radar Phase Unwrapping. IEEE Geoscience and Remote Sensing Magazine, 9(2): 10-28, Jun 2021. (SCI 1区Top，影响因子14.6)

[15] Lifan Zhou; Hanwen Yu*; Yang Lan; Mengdao Xing. Deep Learning-Based Branch-Cut Method for InSAR Two-Dimensional Phase Unwrapping. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-15, July 2021. ((SCI 1区，影响因子7.5)

[16] Lifan Zhou; Hanwen Yu*; Yang Lan; Shengrong Gong; Mengdao Xing. CANet: An Unsupervised Deep Convolutional Neural Network for Efficient Cluster-Analysis-Based Multibaseline InSAR Phase Unwrapping, IEEE Transactions on Geoscience and Remote Sensing, 60: 1-15, Sep 2021. (SCI 1区，影响因子7.5)

[17] Peifeng Ma; Hui Lin; Weixi Wang; Hanwen Yu; Fulong Chen; Liming Jiang; Lifan Zhou; Zhengjia Zhang; GUOQIANG SHI; Jili Wang. Toward Fine Surveillance: A Review of Multitemporal Interferometric Synthetic Aperture Radar for Infrastructure Health Monitoring. IEEE Geoscience and Remote Sensing Magazine, early access: 2-25, Aug 2021. (SCI 1区Top，影响因子14.6)

[18] Guang Ji; Zhaohui Wang; Lifan Zhou; Yu Xia; Shan Zhong; Shengrong Gong*; SAR Image Colorization Using Multidomain Cycle-Consistency Generative Adversarial Network, IEEE Geoscience and Remote Sensing Letters, 2021, 18(2): 296-300 (SCI 2区，影响因子4.5)

[19] Lifan Zhou; Hanwen Yu*; Yang Lan; Deep Convolutional Neural Network-Based Robust Phase Gradient Estimation for Two-Dimensional Phase Unwrapping Using SAR Interferograms, IEEE Transactions on Geoscience and Remote Sensing, 58(7): 4653-4665, Jul, 2020. (SCI 1区，影响因子7.5)

[20] Lifan Zhou*; Yang Lan; Yu Xia; Shengrong Gong; Extended Phase Unwrapping Max-Flow/Min-Cut Algorithm for Multibaseline SAR Interferograms Using a Two-Stage Programming Approach, Sensors, 2020, 20 (2): 375. (SCI 3区，影响因子3.9)

[21] 周立凡,张世奇,夏瑜,钟珊,龚声蓉.基于间断自适应MRF的相位解缠算法[J].测绘通报,2020(12):6-10+26.（中文核心）

[22] Lifan Zhou*; Dengfeng Chai; Yu Xia; Conghua Xie; An extended PUMA algorithm for multibaseline InSAR DEM reconstruction, International Journal of Remote Sensing, 2019, 40 (20): 7830-7851. (SCI 3区，影响因子3.6)

[23] Lifan Zhou*; Peifeng Ma; Yu Xia; Shengrong Gong; Deformation monitoring and analysis of the thermal expansion of high-rise buildings in Shanghai Lujiazui using tomography-based persistent scatterer interferometry, Journal of Applied Remote Sensing, 2019, 13 (4): 044517. (SCI 4区，影响因子1.53)

[24] Lifan Zhou*; Dengfeng Chai; Yu Xia; Pengfeng Ma; Comparison of optimization algorithms for interferometric synthetic aperture radar phase unwrapping based on identical Markov random fields, Journal of Applied Remote Sensing, 2018, 12(2): 025016. (SCI 4区，影响因子1.7)

[25] Lifan Zhou*; Dengfeng Chai; Yu Xia; Pengfeng Ma; Hui Lin; Interferometric synthetic aperture radar phase unwrapping based on sparse Markov random fields by graph cuts, Journal of Applied Remote Sensing, 2018, 12(1): 015006. (SCI 4区，影响因子1.7)

发明专利

1) 周立凡;周轩宇;龚声蓉，SAR图像建成区语义分割方法及装置、存储介质与终端，专利号：ZL 2024 1 0050858.2。

2) 周立凡；刘威；凤黄浩；刘浩；钟珊，InSAR图像相位滤波方法及装置、存储介质与终端，专利号：ZL 2024118256590。

3) 周立凡；周轩宇；刘威；凤黄浩；刘浩，SAR图像洪水区的语义分割方法及装置、存储介质与终端，专利号：ZL 2024117461051。

4) 龚声蓉；杨海花；应文豪；钟珊；周立凡，一种基于混合池化的领域自适应图像分类方法，专利号：ZL201910439494.6。

5) 龚声蓉；纪光；周立凡；夏瑜；钟珊，基于多域循环一致性的SAR图像上色方法，专利号：专利号：ZL201910500919.X。

联系方式

电子信箱：zhoulifan@szut.edu.cn

通信地址： 常熟市湖山路99号

邮政编码：215500