[1] 高红民, 刘辉, 马辉, 等. 多源卫星联合观测与业务化应用服务关键技术, 江西省科技进步奖二等奖, 2018.

[2] 高红民入选江苏省第六期“333高层次人才培养工程”第三层次培养对象, 2022.

[3] 陈忠昊, 毕业硕士, 基于空-谱多尺度特征的小样本高光谱影像分类, 导师: 高红民, 2023.

[4] 张亦严, 毕业硕士, 基于多尺度空-谱注意力卷积神经网络的高光谱遥感影像分类, 导师:高红民, 2023.

[5] 支部书记高红民带领通信教工支部获得江苏省党建工作样板支部, 2022.

[6] 高红民获得团省委、省委教育工委“先进个人”荣誉称号, 2016.

高红民，教授/博导，IEEE Senior Member，江苏省“333工程”高层次人才，发表高水平学术论文120余篇，其中第一作者和通讯作者SCI论文70余篇，入选ESI高被引论文6篇，授权国家发明专利50余件，主持国家级JG*73基金项目、国家自然科学基金面上项目、国家自然科学基金青年项目、江苏省自然科学基金面上项目、江苏省科技成果转化面上项目、中科院项目、中国博士后科学基金等。主持的项目“多源卫星联合观测与业务化应用服务关键技术”获得江西省科技进步二等奖1项。本人指导的张亦严、陈忠昊2名硕士研究生学位论文获得2023年江苏省优秀硕士学位论文。担任国际数字地球学会中国国家委员会成像光谱对地观测专业委员会委员，中国图象图形学学会遥感图像专业委员会委员，全国成像光谱对地观测学术研讨会大会委员、论坛主席，Remote sensing (IF=4.2), Applied Sciences (IF=2.5)期刊编委，Frontiers in Remote Sensing (IF=3.4)期刊副主编。

代表性学术论文：

[1] Hongmin Gao, Yao Yang, Chenming Li, Hui Zhou, Lianru Gao, Bing Zhang. Multiscale Residual Network With Mixed Depthwise Convolution for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(4): 3396-3408. (SCI, IF=7.5, ESI高被引, 中科院一区)

[2] Hongmin Gao, Yitong Zhang, Zhonghao Chen, Shufang Xu, Danfeng Hong, Bing Zhang. A Multidepth and Multibranch Network for Hyperspectral Target Detection Based on Band Selection. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1-18. (SCI, IF=7.5, ESI高被引, 中科院一区)

[3] Hongmin Gao, Yitong Zhang, Zhonghao Chen, Feng Xu, Danfeng Hong, Bing Zhang. Hyperspectral Target Detection via Spectral Aggregation and Separation Network with Target Band Random Mask. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61:1-16. (SCI, IF=7.5, 中科院一区)

[4] Hongmin Gao, Hao Feng, Yiyan Zhang, Shufang Xu, Bing Zhang. AMSSE-Net: Adaptive Multiscale Spatial-Spectral Enhancement Network for Classification of Hyperspectral and LiDAR Data. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61:1-17. (SCI, IF=7.5, 中科院一区)

[5] Hongmin Gao, Runhua Sheng, Zhonghao Chen, Haiyun Liu, Shufang Xu, Bing Zhang. Multiscale Random-Shape Convolution and Adaptive Graph Convolution Fusion Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62:1-17. (SCI, IF=7.5, 中科院一区)

[6] Hongmin Gao, Hao Feng, Yiyan Zhang, Shuyu Fei, Runhua Sheng, Shufang Xu, Bing Zhang. Interactive Enhanced Network Based on Multihead Self-Attention and Graph Convolution for Classification of Hyperspectral and LiDAR Data. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62:1-15. (SCI, IF=7.5, 中科院一区)

[7] Hongmin Gao, Zhonghao Chen, Feng Xu. Adaptive spectral-spatial feature fusion network for hyperspectral image classification using limited training samples. International Journal of Applied Earth Observation and Geoinformation, 2022, 107: 1569-8432. (SCI, IF=7.6, 中科院一区)

[8] Hongmin Gao, Mengran Yang, Xueying Cao, Qin Liu, Peipei Xu. Semi-supervised enhanced discriminative local constraint preserving projection for dimensionality reduction of medical hyperspectral images. Computers in Biology and Medicine, 2023, 167:107568. (SCI, IF=7, 中科院一区)

[9] Zhonghao Chen（研究生）, Zhengtao Lu, Hongmin Gao*, Yiyan Zhang, Jia Zhao, Danfeng Hong, Bing Zhang. Global to Local: A Hierarchical Detection Algorithm for Hyperspectral Image Target Detection. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-16. (SCI, IF=7.5, ESI高被引, 通讯作者, 中科院一区)

[10] Zhonghao Chen（研究生）, Guoyong Wu, Hongmin Gao*, Yao Ding, Danfeng Hong, Bing Zhang. Local aggregation and global attention network for hyperspectral image classification with spectral-induced aligned superpixel segmentation. Expert Systems with Applications, 2023, 232: 120828. (SCI, IF=7.5, ESI高被引, 通讯作者, 中科院一区)

[11] Zhonghao Chen（研究生）, Yuyang Wang, Roy Swalpa Kumar, Hongmin Gao*, Yao Ding, Xiongwu Xiao, Zhenfeng Shao, Bing Zhang. TL2GH2T: Triple-path Local to Global Network with Hybrid Head Transformer for Hyperspectral Change Detection. IEEE Transactions on Geoscience and Remote Sensing, 2024. (SCI, IF=7.5, Accept, 通讯作者, 中科院一区)

[12] Yiyan Zhang（研究生）, Hongmin Gao*, Jun Zhou, Chenkai Zhang, Pedram Ghamisi, Shufang Xu, Chenming Li, Bing Zhang. A cross-modal feature aggregation and enhancement network for hyperspectral and LiDAR joint classification. Expert Systems with Applications, 2024, 258: 125145. (SCI, IF=7.5, 通讯作者, 中科院一区)

[13] Shufang Xu, Sijie Geng, Pengfei Xu, Zhonghao Chen, Hongmin Gao*. Cognitive Fusion of Graph Neural Network and Convolutional Neural Network for Enhanced Hyperspectral Target Detection. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 1-16. (SCI, IF=7.5, 通讯作者, 中科院一区)

[14] Shufang Xu, Xu Chen, Haiwei Li, Tianci Liu, Zhonghao Chen, Hongmin Gao*, Yiyan Zhang. Airborne Small Target Detection Method Based on Multi-modal and Adaptive Feature Fusion. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 1-15. (SCI, IF=7.5, 通讯作者, 中科院一区)

[15] Hongmin Gao, Yawen Miao, Xueying Cao, Chenming Li. Densely Connected Multi-scale Attention Network for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 2563-2576. (SCI, IF=4.7, 中科院二区Top)

[17] Hongmin Gao, Zhonghao Chen, Chenming Li. Sandwich Convolutional Neural Network for Hyperspectral Image Classification Using Spectral Feature Enhancement. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 3006-3015. (SCI, IF=4.7, 中科院二区Top)

[18] Hongmin Gao, Zhonghao Chen, Chenming Li. Hierarchical Shrinkage Multiscale Network for Hyperspectral Image Classification With Hierarchical Feature Fusion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 5760-5772. (SCI, IF=4.7, 中科院二区Top)

[19] Hongmin Gao, Junpeng Zhang, Xueying Cao, Zhonghao Chen, Yiyan Zhang, Chenming Li. Dynamic Data Augmentation Method for Hyperspectral Image Classification Based on Siamese Structure. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 8063-8076. (SCI, IF=4.7, 中科院二区Top)

[20] Hongmin Gao, Yiyan Zhang, Zhonghao Chen, Chenming Li. A Multiscale Dual-Branch Feature Fusion and Attention Network for Hyperspectral Images Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14:8180-8192. (SCI, IF=4.7, 中科院二区Top)

[21] Hongmin Gao, Meiling Wang, Xinyu Sun, Xueying Cao, Chenming Li, Qin Liu, Peipei Xu. Unsupervised dimensionality reduction of medical hyperspectral imagery in tensor space. Computer Methods and Programs in Biomedicine, 2023, 240: 107724. (SCI, IF=4.9, 中科院二区)

[22] Hongmin Gao, Huaiyuan Wang, Lanxin Chen, Xueying Cao, Min Zhu, Peipei Xu. Semi-supervised segmentation of hyperspectral pathological imagery based on shape priors and contrastive learning. Biomedical Signal Processing and Control, 2024, 91: 105881. (SCI, IF=4.9, 中科院二区)

[23] Hongmin Gao, Zhonghao Chen, Chenming Li. Shallow Network Based on Depthwise Over-Parameterized Convolution for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 1-5. (SCI, IF=4)

[24] Hongmin Gao, Min Zhu, Xiangyi Wang, Chenming Li, Shufang Xu. Lightweight Spatial-Spectral Network Based on 3D-2D Multi-Group Feature Extraction Module for Hyperspectral Image Classification. International Journal of Remote Sensing, 2023, 44(11): 3607-3634. (SCI)

[25] Hongmin Gao, Mingxia Wang, Yao Yang, Xueying Cao, Chenming Li. Hyperspectral Image Classification with Dual Attention Dense Residual Network. International Journal of Remote Sensing, 2021,42(15) 5604-5625. (SCI)

[26] Hongmin Gao, Hongyi Wu, Zhonghao Chen, Yiyan Zhang, Shufang Xu. Fusion Network for Local and Global Features Extraction for Hyperspectral Image Classification. International Journal of Remote Sensing, 2022, 43 (10): 3843-3867. (SCI)

[27] Hongmin Gao, Mengran Yang, Xueying Cao, Qin Liu, Peipei Xu. A high-level feature channel attention UNet network for cholangiocarcinoma segmentation from microscopy hyperspectral images. Machine Vision and Applications, 2023, 34(5):72. (SCI)

[28] Hongmin Gao, Yiyan Zhang, Yunfei Zhang, Zhonghao Chen, Chenming Li, Hui Zhou. A 3D-2D Multibranch Feature Fusion and Dense Attention Network for Hyperspectral Image Classification. Micromachines, 2021, 12(10): 1271. (SCI)

[29] Hongmin Gao, Hongyi Wu, Zhonghao Chen, Yunfei Zhang, Yiyan Zhang, Chenming Li. Multiscale spectral-spatial cross-extraction network for hyperspectral image classification. IET Image Processing, 2021, 16(3): 755-771. (SCI)

[30] 高红民, 曹雪莹, 杨耀, 花再军, 李臣明. 基于CNN 的双边融合网络在高光谱图像分类中的应用. 通信学报, 2020, 41(11):132-140.(一级学报)

[31] 高红民, 曹雪莹, 陈忠昊, 花再军, 李臣明, 陈月. 基于多尺度近端特征拼接网络的高光谱图像分类方法. 通信学报, 2021, 42(02):92-102.(一级学报)

[32] 高红民, 朱敏, 曹雪莹, 李臣明, 刘芹, 许佩佩. 多尺度融合注意力机制的胆囊癌显微高光谱图像分类. 中国图象图形学报, 2023,28(04):1173-1185.(一级学报)

[33] Zhonghao Chen（研究生）, Danfeng Hong, Hongmin Gao*. Grid network: Feature extraction in anisotropic perspective for hyperspectral image classification. IEEE Geoscience and Remote Sensing Letters, 2023, 20: 1-5. (SCI, ESI高被引, 通讯作者)

[34] Shufang Xu, Ziyun Zhou, Jianni Li, Longbao Wang, Xuejie Zhang, Hongmin Gao*. Communication-Constrained UAVs' Coverage Search Method in Uncertain Scenarios. IEEE Sensors Journal, 2024, 24(10): 17092-17101. (SCI, 通讯作者)

[35] Chenming Li, Weibo Zhang, Yiyan Zhang, Zhonghao Chen, Hongmin Gao*. Adaptively Dictionary Construction for Hyperspectral Target Detection. IEEE Geoscience and Remote Sensing Letters, 2023, 20: 5502005. (SCI, 通讯作者)

[36] Zhonghao Chen（研究生）, Yuyang Wang, Hongmin Gao*, Yao Ding, Qiqiang Zhong, Danfeng Hong, Bing Zhang. Temporal difference-guided network for hyperspectral image change detection. International Journal of Remote Sensing, 2023, 44(19): 6033-6059. (SCI, 通讯作者)

[37] Shufang Xu, Sijie Geng, Tingting Fan, Chenming Li, Hongmin Gao*. Hyperspectral image classification method based on narrowing semantic gap convolutional neural network. International Journal of Remote Sensing, 2024, 45(7): 2208-2234. (SCI, 通讯作者)

[38] Hongmin Gao, Yiyan Zhang, Zhonghao Chen, Hongyi Wu, Weibo Zhang, Chenming Li. Exploring the Collaboration Between Convolutional Neural Networks and Transformers in Hyperspectral Image Classification. 2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), Rome, Italy, 2022, pp. 1-5. (行业顶会)

代表性授权发明专利：

[1] 高红民, 杨耀, 李臣明, 樊悦, 陈玲慧, 黄昌运, 闵海彬, 张振, 李雪琨, 陆迎曙. 一种遥感图像目标识别方法, 2020, 中国发明专利, ZL201710183174.X.

[2] 高红民, 李臣明, 王艳, 史宇清, 陈玲慧.一种基于博弈论的多目标高光谱遥感影像波段选择方法, 2018, 中国发明专利, ZL201510153063.5.

[3] 高红民, 李臣明, 王艳, 谢科伟, 陈玲慧, 史宇清. 一种应用于高光谱图像处理的非负矩阵分解方法, 2018, 中国发明专利, ZL201510391385.3.（已转化）

[4] 高红民, 李臣明, 王艳, 陈玲慧. 一种高光谱遥感影像波段选择方法, 2018, 中国发明专利, ZL201510129917.6.

[5] 高红民, 张亦严, 陈忠昊, 曹雪莹, 李臣明.一种基于全局注意力残差网络的高光谱图像分类方法, 2022, 中国发明专利, ZL202110376903.X.

[6] 高红民, 曹雪莹, 李臣明, 陈月, 花再军.基于多尺度近端特征拼接的高光谱图像分类模型的装置, 2022, 中国发明专利, ZL202010816542.1.

[7] 高红民, 缪雅文, 曹雪莹, 李臣明, 陈忠昊, 邱泽林.高光谱遥感影像半监督分类方法、装置及存储介质, 2022, 中国发明专利, ZL202010736807.7.

[8] 高红民, 曹雪莹, 李臣明, 花再军, 陈忠昊.基于双路卷积融合神经网络的高光谱图像分类模型及方法, 2022, 中国发明专利, ZL202010708829.2.

[9] 高红民, 曹雪莹, 李臣明, 缪雅文, 陈月.一种基于深度学习空谱联合网络的高光谱图像分类方法, 2022, 中国发明专利, ZL202010667743.X.

[10] 高红民, 姚丹, 杜星熠, 李臣明, 王明霞, 缪雅文.一种基于深度学习和多示例学习的高光谱影像分类方法, 2022, 中国发明专利, ZL201910482614.0.

[11] 高红民, 张骏鹏, 曹雪莹, 陈忠昊, 张亦严, 李臣明.用于高光谱图像分类的动态数据扩张方法及图像分类方法, 2022, 中国发明专利, ZL202110473836.3.

[12] 高红民, 王明霞, 杨耀, 曹雪莹, 李臣明. 一种高光谱遥感影像分类方法及装置: 中国发明专利, 2024, 中国发明专利, ZL202011466272.2.

主持科研项目：

[1] 国家自然科学基金面上项目: 基于离散曲面曲率流的时序海洋高光谱遥感水下目标识别方法, 2020, 主持, 55万元

[2] JKW*73基金项目: 基于高光谱的***技术, 2021, 主持, 82万元（实现河海大学国家级JG科研项目零的突破）

[3] 国家自然科学基金青年项目: 基于计算共形几何的海洋高光谱遥感影像特征分析与目标识别, 2017,主持, 24万元

[4] 江苏省自然科学基金面上项目: 基于时序高光谱遥感的浅海水下目标识别方法, 2021,  主持, 10万元

[5] 南京市医学科技发展专项资金项目: 显微高光谱图像白血病早期智能诊断方法, 2022,  主持, 3万元

[6] 江苏省科技成果转化项目课题: 高频片式压控晶体振荡器技术研发, 2017, 主持, 100万元

[7] 国网江苏电力有限公司科技项目: 电网稳态模型数据质量问题智能诊断关键技术研究, 2023, 主持, 42.5万元.

[8] 中国科学院委托项目: 多模态遥感数据智能化精细分类模块插件开发, 2021, 主持, 10万元.

[9] 中国博士后科学基金第63批面上资助项目: 基于Ricci流的海洋高光谱遥感影像特征提取与目标识别, 2018, 主持, 5万元.

[10] 中国博士后科学基金第69批面上资助项目: 高光谱遥感影像海气界面目标检测方法, 2021, 主持, 8万元.

[11] 企业委托项目: 基于物联网和云计算技术的智慧工地施工信息化管理平台, 2022, 主持, 15万元.

[12] 企业委托项目: ADB前大灯的灯光调节系统, 2021, 主持, 15万元.