导师风采
潘斌
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  • 副教授
  • 导师类别:硕,博士生导师
  • 性别: 男
  • 学历:博士研究生
  • 学位:博士

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  • 所属院系:统计与数据科学学院
  • 所属专业: 应用统计  、 统计学
  • 邮箱 : panbin@nankai.edu.cn
  • 工作电话 : -

个人简介

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主要从事图像处理与人工智能方面的研究,特别在面向高光谱遥感图像标注的小样本深度学习技术方面有较为深入的研究。曾获评北京航空航天大学大学生年度人物、南开大学百名青年学科带头人等。近5年,先后发表在国际遥感知名期刊IEEE TGRS、ISPRS JPRS、IEEE TIP等发表论文40余篇;共有4篇论文入选ESI热点论文,7篇入选ESI高被引论文;发表的论文共取得谷歌引用1000+次。

本人所带领的科研团队目前共有研究生十余人,培养方向以人工智能为主,致力于能在顶级期刊发表学术论文,并服务我国航天遥感事业。主要与航天院所和电力部门合作较多,毕业生就业方向主要包括航天院所、互联网大厂、读博深造等。热忱欢迎优秀学子推免或报考本人团队!

本人教育和工作经历如下:

2009--2013       北京航空航天大学  宇航学院    探测制导与控制技术     学士

2013—2019      北京航空航天大学  宇航学院    模式识别与智能系统     博士

2019至今           南开大学  统计与数据科学学院  副教授 博士生导师



  • 研究方向Research Directions
人工智能,遥感图像处理,深度学习,航天国防
2. 机电结构优化与控制 研究内容:在对机电结构进行分析和优化的基础上,运用控制理论进行结构参数的调整,使结构性能满足设计要求。1. 仿生结构材料拓扑优化设计, 仿生机械设计 研究内容:以仿生结构为研究对象,运用连续体结构拓扑优化设计理论和方法,对多相仿生结构(机构)材料进行2. 机电结构优化与控制 研究内容:在对机电结构进行分析和优化的基础上,运用控制理论进行结构参数的调整,使结构性能满足设计要求。1. 仿生结构材料拓扑优化设计, 仿生机械设计 研究内容:以仿生结构为研究对象,运用连续体结构拓扑优化设计理论和方法,对多相仿生结构(机构)材料进行整体布局设计。 整体布局设计。
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硕士研究生
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科研项目

2019年进入南开大学以来,先后主持科研项目10余项;取得用户单位应用证明2项;申请发明专利4项。

[1] 科技委前沿创新,基于多源卫星***自动识别,2020-2022,主持

[2] 科技委前沿创新,多域***数学原理研究,2023-2024,主持

[3] 科技委前沿创新,非合作目标***技术研究,2021-2022,主持

[4] 国家自然科学基金,多层级域适应高光谱遥感图像分类,2021-2023,主持

[5] 国家重点研发计划子任务,海量多源数据的融合分析算法,2023-2027,主持

[6] 京津冀基础研究合作专项,面向节能减排的高炉冶炼过程智能建模研究,2022-2024,主持

[7] 航天系统仿真重点实验室基金,面向***智能校正方法研究,2020-2022,主持

[8] 海军某部合作项目,无人机光电成像***系统,2024-2024,主持

[9] 航天二院合作项目,基于人工智能的***不确定性分析研究,2021-2022,主持

[10] 航天二院合作项目,惯性动目标***计算网络构建研究,2022-2023,主持

[11] 东方电子集团合作项目,变电站/特高压智慧电力巡检系统,2021-2022,主持

[12] 国家电网天津分公司,新一代集控系统设备态势感知和辅助分析能力智能化技术,2023-2024,主持

[13] 贵州博睿科讯公司合作项目,高速公路无人机智能巡检关键技术研发,2023-2024,主持


发表论文

部分代表性学术论文列表如下(*为通讯作者),所有文章代码均开源,可在github主页(https://github.com/Lab-PANbin)或课题组主页(http://levir.buaa.edu.cn/publications_cn.htm)下载:

[1] JiaoLiu, Bin Pan* and Zhenwei Shi. Cascaded Memory Network for Optical RemoteSensing Imagery Cloud Removal. IEEE Transactions on Geoscience and RemoteSensing, 2024

[2] Jiajun Xie, Bin Pan*, Xia Xu and Zhenwei Shi. MiSSNet: Memory-inspired Semantic Segmentation Augmentation Network for Class-Incremental Learning in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, 2024

[3] Bin Pan, Zhehao Xu, Tianyang Shi, Tao Li and Zhenwei Shi. An Imbalanced Discriminant Alignment Approach for Domain Adaptive SAR Ship Detection. IEEE Transactions on Geoscience and Remote Sensing, 2023

[4] Zhe Gao, Bin Pan*, Xia Xu, Tao Li and Zhenwei Shi. LiCa: Label-indicate-Conditional-alignment Domain Generalization for Pixel-wise Hyperspectral Imagery Classification. IEEE Transactions on Geoscience and Remote Sensing, 2023

[5] Ruiying Li, Bin Pan*, Xia Xu, Tao Li and Zhenwei Shi. Towards Convergence: A Gradient-Based Multiobjective Method With Greedy Hash for Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing, 2023

[6] Lukui Shi, Ruiyun Zhao, Bin Pan*, Zhengxia Zou and Zhenwei Shi. Unsupervised Multi-Modal Remote Sensing Image Registration via Domain Adaptation. IEEE Transactions on Geoscience and Remote Sensing, 2023

[7] Jun Zhang, Simin Li, Yongfeng Dong, Bin Pan* and Zhenwei Shi. Hierarchical Similarity Alignment for Domain Adaptive Ship Detection in SAR Images. IEEE Transactions on Geoscience and Remote Sensing, 2023

[8] Yuexin Duan, Xia Xu, Bin Pan, Tao Li and Zhenwei Shi. UnDAT: Double Aware Transformer for Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing, 2023

[9] Lukui Shi, Qingrui Zhang, Bin Pan*, Jun Zhang and Yuanchao Su. Global-Local and Occlusion Awareness Network for Object Tracking in UAVs. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023

[10] Yuyou Gao, Bin Pan*, Xinyu Song and Xia Xu. Extended-Aggregated Strategy For Hyperspectral Unmixing Based On Dilated Convolution. IEEE Geoscience and Remote Sensing Letters, 2023

[11] Qiaoying Qu, Bin Pan, Xia Xu, Tao Li and Zhenwei Shi. Unmixing Guided Unsupervised Network for RGB Spectral Super-Resolution. IEEE Transactions on Image Processing, 2023

[12] Bin Pan, Qiaoying Qu, Xia Xu and Zhenwei Shi. Structure-Color Preserving Network for Hyperspectral Image Super Resolution. IEEE Transactions on Geoscience and Remote Sensing, 2022

[13] Lukui Shi, Linyi Kuang, Xia Xu, Bin Pan* and Zhenwei Shi. CANet: Centerness-Aware Network for Object Detection in Remote Sensing Images. IEEE Transactions onGeoscience and Remote Sensing, 2022

[14] Xia Xu, Xinyu Song, Tao Li, Zhenwei Shi and Bin Pan. Deep Autoencoder for Hyperspectral Unmixing via Global-Local Smoothing. IEEE Transactions on Geoscience and Remote Sensing, 2022

[15] Yanyi Wei, Xia Xu, Bin Pan*, Tao Li and Zhenwei Shi. A Multi-objective Group Sparse Hyperspectral Unmixing Method with High Correlation Library. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022

[16] Jun Zhang, Pengli Wu, Xia Xu, Ming Han and Bin Pan*. PCS-LSTM: A Hybrid Deep Learning Model for Multi-stations Joint Temperature Prediction based on Periodicity and Closeness, Neurocomputing, 2022

[17] Jun Zhang, Ruofei Huang, Yan Li and Bin Pan*. Oriented Ship Detection Based on Intersecting Circle and Deformable RoI in Remote Sensing Images. Remote Sensing, 2022

[18] Zhenjie Tang, Qing Xu, Pengfei Wu, Zhenwei Shi and Bin Pan*. Feedback Refined Local-Global Network for Super-Resolution of Hyperspectral Imagery. Remote Sensing, 2022

[19] Jun Zhang, Yue Liu, Pengfei Wu, Zhenwei Shi and Bin Pan*. Mining Cross-Domain Structure Affinity for Refined Building Segmentation in Weakly Supervised Constraints, Remote Sensing, 2022

[20] Chen Sun, Jing Zhou, Yuchi Ma, Yijia Xu, Bin Pan and Zhou Zhang. A Review of Remote Sensing for Potato Traits Characterization in Precision Agriculture. Frontiers in Plant Science, 2022

[21] Jun Zhang, Jiao Liu, Bin Pan*, Zongqing Chen, Xia Xu and Zhenwei Shi. An Open Set Domain Adaptation Algorithm via Exploring Transferability and Discriminability for Remote Sensing Image Scene Classification. IEEE Transactionson Geoscience and Remote Sensing, 2021.

[22] Xia Xu, Bin Pan*, Zongqing Chen, Zhenwei Shi and Tao Li. Simultaneously Multi-objective Sparse Unmixing and Library Pruning for Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing, 2021.

[23] Enhai Liu, Yu Zheng, Bin Pan*, Xia Xu and Zhenwei Shi, DCL-Net: Augmenting the Capability of Classification and Localization for Remote Sensing Object Detection. IEEE Transactions on Geoscience and Remote Sensing, 2021.

[24] Peiliang Zuo, Han Zhang, Chen Wang, Hua Jiang and Bin Pan, Directional Target Localization in NLOS Environments Using RSS-TOA Combined Measurements, IEEE Wireless Communications Letters, 2021

[25]  Lukui Shi, Ziyuan Wang, Bin Pan* and Zhenwei Shi. An End-to-End Network for Remote Sensing Imagery Semantic Segmentation via Joint Pixel and Representation Level Domain Adaptation. IEEE Geoscience and Remote Sensing Letters, 2021

[26] Jun Zhang, Jiao Liu, Bin Pan*, Zhenwei Shi. Domain Adaptation Based on Correlation Subspace Dynamic Distribution Alignment for Remote Sensing Image Scene Classification. IEEE Transactions on Geoscience and Remote Sensing, 2020.(ESI高被引论文, ESI热点论文)

[27] Bin Pan, Xia Xu, Zhenwei Shi, Ning Zhang, Huanlin Luo and Xianchao Lan. DSSNet: A Simple Dilated Semantic Segmentation Network for Hyperspectral Imagery Classification. IEEE Geoscience and Remote Sensing Letters, 2020

[28] Jun Zhang, Min Zhang, Bin Pan* and Zhenwei Shi. Semisupervised Center Loss for Remote Sensing Image Scene Classification.  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020.

[29] Jun Zhang, MinZhang, Liukui Shi, Wenjie Yan and Bin Pan*. A Multi-Scale Approach for Remote SensingScene Classification Based on Feature Maps Selection and Region Representation.Remote Sensing, 2020

[30] Bin Pan, Zhenwei Shi and Xia Xu. Analysis for the Weakly Pareto Optimum in Multi-Objective based Hyperspectral Band Selection, IEEE Transactions on Geoscience and Remote Sensing, 2019

[31] Bin Pan, Zhenwei Shi and Xia Xu. Multi-objective Based Sparse Representation Classifier for Hyperspectral Imagery Using Limited Samples, IEEE Transactions on Geoscience and Remote Sensing, 2019.

[32] Bin Pan, Zhenwei Shi, Xia Xu, Tianyang Shi, Ning Zhang and Xinzhong Zhu. CoinNet: Copy Initialization Network for Multispectral Imagery Semantic Segmentation, IEEE Geoscience and Remote Sensing Letters, 2019.(ESI 高被引论文)

[33] Bin Pan, Xia Xu and Zhenwei Shi. Tropical Cyclone Intensity Prediction based on Recurrent Neural Networks. Electronics Letters, 2019

[34] Bin Pan, Zhenwei Shi and Xia Xu. MugNet: Deep Learning for Hyperspectral Image Classification Using Limited Samples. ISPRS Journal of Photogrammetry and Remote Sensing, 2018. (ESI高被引论文, ESI热点论文)

[35] Xia Xu, Zhenwei Shi and Bin Pan. ℓ0-based sparse hyperspectral unmixing using spectral information and a multi-objectives formulation. ISPRS Journal of Photogrammetry and Remote Sensing, 2018

[36] Bin Pan, Zhenwei Shi and Xia Xu. Hierarchical Guidance Filtering Based Ensemble Classification for Hyperspectral Image. IEEE Transactions on Geoscience and Remote Sensing, 2017. (ESI热点论文)

[37] Bin Pan, Zhenwei Shi and Xia Xu. R-VCANet: A New Deep Learning-Based Hyperspectral Image Classification Method. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017. (ESI高被引论文, ESI热点论文)

[38] Bin Pan, Zhenwei Shi, Xia Xu and Yi Yang. Hashing based Hierarchical Feature Representation for Hyperspectral Imagery Classification. Remote Sensing, 2017

[39] Bin Pan, Zhenwei Shi, Zhenyu An, Zhiguo Jiang and Yi Ma. A Novel Spectral-Unmixing-Based Green Algae Area Estimation Method for GOCI Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017

[40] Bin Pan, Zhenwei Shi and Xia Xu. Long-Wave Infrared Hyperspectral Classification via an Ensemble Method. International Journal of Remote Sensing, 2017

[41] Bin Pan, Zhenwei Shi, Ning Zhang, Shaobiao Xie. Hyperspectral Image Classification Based on Nonlinear Spectral-Spatial Network. IEEE Geoscience and Remote Sensing Letters, 2016


团队成员

2020级

学硕:褚钧正(2022年转博)

专硕:邱家豪(拼多多)

2021级

学硕:潘奕安(2023年转博)、曲俏莹(2023年转博)、沈石禹(2024年转博)

专硕:宋新语(中信银行北京总部)、韦彦一(中国航空研究院618所)、徐哲浩(中国电子科技集团14所)、杜照坤(苏州高新区统计调查中心)

2022级

博士:褚钧正

学硕:高喆、高瑜佑、李瑞颖(2024年转博)

专硕:刘心灵、谢家骏、刘雨浩、张怡然

2023级

博士:潘奕安、曲俏莹

学硕:王宗斌、杨子沣、马兰

专硕:谭英豪、张梓浩、江森宇



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