一、个人简介

杭仁龙，南京信息工程大学计算机学院教授、博导。长期从事遥感图像智能解译与气象应用研究，主持国自然青B（原优青）、江苏省杰青等项目。在国际权威期刊和会议发表论文70余篇，包括IEEE汇刊论文20余篇，ESI高被引论文14篇，论文共计被引5000余次。获江苏省高校自然科学二等奖（序2）、中国地理信息科技进步二等奖（序5）、江苏省自然科学百篇优秀学术成果论文（序1）、江苏省优秀博士学位论文等奖励。入选全球前2%顶尖科学家榜单、江苏省青蓝工程优秀青年骨干教师，兼任IEEE JSTARS期刊编委、中国图象图形学学会遥感图像专委会副秘书长等。

2026年拟招收博士研究生1-2名、硕士研究生5名，欢迎对人工智能、遥感图像处理、气象大数据智能解译等研究方向感兴趣的同学联系。

二、科研成果

代表性论文：

1. Feng Zhou, Xinyu Zhang, Hui Shuai, Qingshan Liu, Renlong Hang (通讯作者).  Adaptive frequency collaboration for remote sensing change detection. Neural Networks, 2026, 195: 108234

2. Renlong Hang, Jinyu Luo, Hui Lin, Qingshan Liu. Text-Augmented Semantic Feature Extraction and Difference Information Learning for Remote Sensing Image Change Captioning. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2025, 63: 5636112.

3. Shengqin Jiang, Yuan Gao, Bowen Li, Fengna Cheng, Renlong Hang (通讯作者), Qingshan Liu. Remote Sensing Object Counting With Online Knowledge Learning. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2025, 63: 5615511. 

4. Feng Zhou, Xinyu Zhang, Hui Shuai, Renlong Hang (通讯作者), Shanshan Zhu, Tianyu Geng. Dual-Granularity Feature Alignment for Change Detection in Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2025, 18: 4487-4497. 

5. Yuhao Liu, Zhiyong Zheng, Renlong Hang (通讯作者). A Remote Sensing Change Detection Network Using Visual-Prompt Enhanced CLIP.  IEEE Geoscience and Remote Sensing Letters (GRSL), 2025, 22: 6009305. 

6. Renlong Hang, Siqi Xu, Qingshan Liu. A Regionally Indicated Visual Grounding Network for Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024, 62: 5647411.

7. Renlong Hang, Jingquan Wang, Lingling Ge, Chunxiang Shi, Jianfen Wei. Convective Cloud Detection From Himawari-8 Advanced Himawari Imager Data Using a Dual-Branch Deformable Convolutional Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2024, 17: 7490-7500.

8. Renlong Hang, Siqi Xu, Panli Yuan, Qingshan Liu. AANet: An Ambiguity-Aware Network for Remote-Sensing Image Change Detection. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024, 62: 5612911. (ESI高被引论文)

9. Feng Zhou, Chao Xu, Guowei Yang, Renlong Hang (通讯作者), Qingshan Liu. Masked Spectral–Spatial Feature Prediction for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024, 62: 4400913.

10. 杭仁龙, 孙瑜, 刘青山. 模态间匹配学习的高光谱和激光雷达联合分类. 遥感学报, 2024, 28(1): 154-167. 

11. Renlong Hang, Xuwei Qian, Qingshan Liu. MSNet: Multi-Resolution Synergistic Networks for Adaptive Inference. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023, 33(5): 2009-2018.

12. Feng Zhou, Chao Xu, Renlong Hang (通讯作者), Rui Zhang, Qingshan Liu. Mining Joint Intraimage and Interimage Context for Remote Sensing Change Detection. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023, 61: 4403712.

13. 杭仁龙, 李成相, 刘青山. 谱间对比学习的高光谱图像无监督特征提取. 测绘学报, 2023, 52(7): 1164-1174.

14. Renlong Hang, Xuwei Qian, Qingshan Liu. Cross-Modality Contrastive Learning for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022, 60: 5532812. (ESI高被引论文)

15. Renlong Hang, Ping Yang, Feng Zhou, Qingshan Liu. Multiscale Progressive Segmentation Network for High-Resolution Remote Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022, 60: 5412012.

16. Renlong Hang, Gang Li, Mei Xue, Changming Dong, Jianfen Wei. Identifying Oceanic Eddy with an Edge-Enhanced Multiscale Convolutional Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2022, 15: 9198-9207.

17. Xuwei Qian, Renlong Hang (通讯作者), Qingshan Liu. ReX: An Efficient Approach to Reducing Memory Cost in Image Classification. AAAI Conference on Artificial Intelligence (AAAI), 2022, 36(2): 2099-2107.

18. Renlong Hang, Feng Zhou, Qingshan Liu, Pedram Ghamisi. Classification of Hyperspectral Images via Multitask Generative Adversarial Networks. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021, 59(2): 1424-1436. (ESI高被引论文，江苏省自然科学百篇优秀学术成果论文)

19. Renlong Hang, Zhu Li, Qingshan Liu, Pedram Ghamisi, Shuvra S Bhattacharyya. Hyperspectral Image Classification with Attention-Aided CNNs. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021, 59(3): 2281-2293. (ESI热点论文、高被引论文)

20. Renlong Hang, Qingshan Liu, Zhu Li. Spectral Super-Resolution Network Guided by Intrinsic Properties of Hyperspectral Imagery. IEEE Transactions on Image Processing (TIP), 2021, 30: 7256-7265.

21. Chengxiang Li, Renlong Hang (通讯作者), Behnood Rasti. EMFNet: Enhanced Multisource Fusion Network for Land Cover Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2021, 14: 4381- 4389.

22. Renlong Hang, Zhu Li, Pedram Ghamisi, Danfeng Hong, Guiyu Xia, Qingshan Liu. Classification of Hyperspectral and LiDAR Data Using Coupled CNNs. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2020, 58(7): 4939-4950. (ESI高被引论文)

23. Renlong Hang, Zhu Li, Qingshan Liu, Shuvra S Bhattacharyya. Prinet: A Prior Driven Spectral Super-Resolution Network. IEEE International Conference on Multimedia and Expo (ICME), 2020, 1-6.

24. Renlong Hang, Qingshan Liu, Danfeng Hong, Pedram Ghamisi. Cascaded Recurrent Neural Networks for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2019, 57(8): 5384-5394. (ESI热点论文、高被引论文)

25. Renlong Hang, Qingshan Liu. Dimensionality Reduction of Hyperspectral Image Using Spatial Regularized Local Graph Discriminant Embedding. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2018, 11(9): 3262-3271.

26. Renlong Hang, Qingshan Liu, Guiyu Xia, Huihui Song. Correcting MODIS Aerosol Optical Depth Products Using a Ridge Regression Model. International Journal of Remote Sensing (IJRS), 2018, 39(10): 3275-3286.

27. Qingshan Liu, Renlong Hang (通讯作者), Huihui Song, Zhi Li. Learning Multiscale Deep Features for High-Resolution Satellite Image Scene Classification. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2018, 56(1): 117-126. (ESI高被引论文)

28. Renlong Hang, Qingshan Liu, Yubao Sun, Xiaotong Yuan, Hucheng Pei, Javier Plaza, Antonio Plaza. Robust Matrix Discriminative Analysis for Feature Extraction From Hyperspectral Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2017, 10(5): 2002-2011.

29. Renlong Hang, Qingshan Liu, Huihui Song, Yubao Sun, Fuping Zhu, Hucheng Pei. Graph Regularized Nonlinear Ridge Regression for Remote Sensing Data Analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2017, 10(1): 277-285.

30. Renlong Hang, Qingshan Liu, Huihui Song, Yubao Sun. Matrix-Based Discriminant Subspace Ensemble for Hyperspectral Image Spatial–Spectral Feature Fusion. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2016, 54(2): 783-794. 

发明专利： 

1. 杭仁龙，徐偲淇. 基于跨样本语义对比学习的遥感图像语义变化检测方法, 2025, 中国,  ZL202411877074.3.

2. 杭仁龙，杨平，周峰，刘青山，谢小萍，徐萌. 一种农田自动分割方法及系统, 2025, 中国，ZL202111602281.4.

3. 郑志勇, 杭仁龙. 一种基于微调CLIP的遥感图像变化检测方法, 2025, 中国, ZL202411722534.5.

4. 杭仁龙, 曹善杰. 一种基于深度学习的温度廓线反演方法, 2024, 中国, ZL202410332386.X. 

5. 丁嘉慕, 杭仁龙, 刘青山. 一种多任务持续学习的跨海域热带气旋强度估计方法, 2024, 中国, ZL202410217961.1. 

6. 潘泽锋, 杭仁龙, 袁晓彤. 一种基于序列长度的短临降水预报方法、装置及设备, 2024, 中国, ZL202410116453.4. 

7. 杭仁龙, 周峰, 刘青山. 一种卫星图像分割方法, 2023, 中国, ZL202010554001.6. 

8. 杭仁龙, 杨平, 刘青山.  一种高分辨率遥感影像渐进式分割方法, 2022, 中国, ZL202210924746.6. 

9. 杭仁龙, 钱旭威, 刘青山. 一种高效的动态图像分类方法, 2022, 中国, ZL202111352357.2. 

10. 刘青山, 张芮, 杭仁龙. 一种红外云图气旋分析方法及分析系统, 2021, 中国, ZL201811381701.9. 

主持科研项目：

1. 台风智能预报方法研究, 国自然青年科学基金项目（B类）[原优秀青年科学基金项目], 2026年1月-2028年12月

2. 多源遥感数据驱动与知识引导的台风预报方法研究, 江苏省杰出青年基金项目, 2025年7月-2028年6月

3. 小样本条件下高分遥感图像语义分割与域适应方法研究, 国基金面上项目, 2025年1月-2028年12月

4. 基于关键气象要素反演与降尺度的强对流天气智能预报，国基金联合重点项目子课题，2022年1月-2025年12月

5. 卫星影像处理与农田监测，企业委托项目，2024年1月-2024年4月

6. 基于对抗网络的高光谱图像半监督分类方法研究，国基金青年项目，2020年1月-2022年12月

7. 基于卷积长短时记忆网络的高光谱图像分类，江苏省青年基金，2018年7月-2021年6月

8. 基于卷积神经网络的高光谱图像分类方法研究，省高校面上项目，2018年9月至2020年8月

三、学生培养

1. 2026届硕士生蒋志凯获2025年“挑战杯”国赛一等奖、王畅获2025年高分对地观测应用技术创新大赛一等奖、罗金羽发表IEEE Transactions论文1篇; 

2. 2025届本科生郑志勇，发表SCI论文1篇，授权发明专利1项，保研中科大；

3. 2025届硕士生徐偲淇，发表IEEE Transactions论文2篇，授权发明专利1项；

4. 2023届硕士生杨平，发表IEEE Transactions论文1篇，授权发明专利1项；

5. 2022届硕士生钱旭威，发表IEEE Transactions论文2篇、CCF-A类会议论文1篇，授权发明专利1项，东南大学读博；

暂无内容

暂无内容

暂无内容

暂无内容

暂无内容