一、个人简介

杭仁龙，2017年博士毕业于南京信息工程大学气象信息技术专业。主要从事模式识别、遥感图像分析、气象大数据智能解译等方向的研究。已在IEEE-TGRS、IEEE-TIP、IEEE-TCSVT、AAAI等国际知名期刊和会议上发表论文60余篇，共计被引4600余次，10余篇论文入选ESI高被引论文。主持国家自然科学基金、江苏省自然科学基金等项目。曾入选斯坦福大学“全球前2%顶尖科学家榜单”，获江苏省高等学校自然科学奖二等奖、中国地理信息科技进步奖二等奖、江苏省自然科学百篇优秀学术成果论文、江苏省优秀博士学位论文、中国模式识别与计算机视觉大会最佳学生论文奖、中国计算机视觉大会最佳学生论文提名奖、IEEE-JSTARS最佳审稿人奖、《遥感学报》年度优秀审稿专家。现担任IEEE-JSTARS期刊Topical Editor、中国图象图形学学会遥感图像专委会副秘书长、江苏省人工智能学会智能遥感专委会秘书长，曾担任Remote Sensing期刊Guest Editor。

2025年拟招收5名研究生，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：

详细论文可参考谷歌学术：https://xs.cljtscd.com/scholar?q=renlong+hang

[23] 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.

[22] 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.

[21] 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)

[20] 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.

[19] 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.

[18] 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.

[17] 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)

[16] 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.

[15] 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.

[14] 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.

[13] 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)

[12] 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)

[11] 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.

[10] 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.

[9] 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)

[8] 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.

[7] 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)

[6] 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.

[5] 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.

[4] 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)

[3] 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.

[2] 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.

[1] 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.

专利： 

[5] 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, ZL20241 0332386.X. (发明专利)

[4] 杭仁龙, 周峰, 刘青山. 一种卫星图像分割方法, 2023, 中国, ZL202010554001.6. (发明专利)

[3] 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. (发明专利)

[2] 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. (发明专利)

[1] 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. (发明专利)

主持科研项目：

[6] 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

[5] 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

[4] 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

[3] 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

[2] 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

[1] 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