潘斌 - 南开大学 - 统计与数据科学学院

个人简介

个人简介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SCI论文30余篇，其中IEEE Trans.系列13篇；共有4篇论文入选ESI热点论文（近两月引用量排名学科前0.1%），6篇入选ESI高被引论文（引用量排名学科前1%）；发表的论文共取得谷歌引用1000+次；近2年指导研究生发表一区SCI论文5篇，二区4篇。本人所带领的科研团队目前共有研究生14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科研项目 2019年入职南开大学以来，先后主持科研项目7项，其中国家级科研项目3项，省部级1项；其他航天相关项目3项；取得用户单位应用证明2项；申请发明专利2项。 [1] 科技委智能科技重大专项，基于多源卫星***自动识别，2020-2022，国家级，主持 [2] 科技委科技创新特区，非合作目标***技术研究，2021-2022，国家级，主持 [3] 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，国家级，主持 [4] 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，省部级，主持 [5] 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，应用项目，主持 [6] 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，应用项目，主持 [7] 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，应用项目，主持

研究领域

人工智能,遥感图像处理,深度学习,航天国防南开大学研究生招生办公室

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

[1] 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 [2] 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 [3] 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 [4] 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 [5] 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 [6] 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. [7] 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. [8] 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. [9] 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 [10] 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 [11] 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) [12] 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 [13] 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. [14] 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 [15] 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. [16] 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) [17] Bin Pan, Xia Xu and Zhenwei Shi. Tropical Cyclone Intensity Prediction based on Recurrent Neural Networks. Electronics Letters, 2019 [18] 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) [19] 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 [20] 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) [21] 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) [22] Bin Pan, Zhenwei Shi, Xia Xu and Yi Yang. Hashing based Hierarchical Feature Representation for Hyperspectral Imagery Classification. Remote Sensing, 2017 [23] 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 [24] Bin Pan, Zhenwei Shi and Xia Xu. Long-Wave Infrared Hyperspectral Classification via an Ensemble Method. International Journal of Remote Sensing, 2017 [25] Bin Pan, Zhenwei Shi, Ning Zhang, Shaobiao Xie. Hyperspectral Image Classification Based on Nonlinear Spectral-Spatial Network. IEEE Geoscience and Remote Sensing Letters, 2016