高红民 - 河海大学 - 计算机与信息学院

个人简介

科技奖励（1）2018年，省科学技术进步奖二等奖，多源卫星联合观测技术及应用，排名1. （2）2012年，中国商业联合会科学技术奖一等奖，分布智能型图像传感器系统和基于物联网架构的集成应用，排名7. （3）2013年，中国商业联合会科学技术奖二等奖，增产提质与节能降耗整体优化技术和产品开发，排名5. （4）2012年，中国电子学会电子信息科学技术奖三等奖，超大规模视频监控与信息服务关键技术研发和应用，排名4. 获得荣誉（1）指导多项大学生国家级、校级创新创业训练计划项目(均获得结题优秀). （2）2015年度被评为优秀班导师. （3）指导本科生社会实践，2015年度获先进个人. （4）2016年度被团省委、省委教育工委评为挂职先进个人.

研究领域

深度学习等智能计算方法、遥感影像处理及海洋监测应用、智能系统开发与集成，基因大数据与智慧医疗

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] Hongmin Gao, Lizhong Xu, Chenming Li, Aiye Shi, Fengchen Huang, Zhenli Ma. A new feature selection method for hyperspectral image classification based on simulated annealing genetic algorithm and Choquet fuzzy integral[J]. Mathematical Problems in Engineering, 2013, 1-14. (SCI) [2] Hongmin Gao, Hui Zhou, Lizhong Xu, Aiye Shi. Classification of hyperspectral remote sensing images based on simulated annealing genetic algorithm and multiple instance learning[J]. Journal of Central South University, 2014, 21 (1): 262-271. (SCI) [3] Hongmin Gao, Shuo Lin, Chenming Li, Yao Yang. Application of Hyperspectral Image Classiﬁcation Based on Overlap Pooling[J]. Neural Processing Letters, 2018, 1-20. (DOI:10.1007/s11063-018-9876-7) (SCI) [4] Hongmin Gao, Shuo Lin, Yao Yang, Chenming Li, Mingxiang Yang. Convolution Neural Network Based on Two-Dimensional Spectrum for Hyperspectral Image Classification[J]. Journal of Sensors, vol. 2018, Article ID 8602103, 13 pages, 2018. (SCI) [5] Hongmin Gao, Yao Yang, Chenming Li, Hui Zhou, Xiaoyu Qu. Joint Alternate Small Convolution and Feature Reuse for Hyperspectral Image Classification[J]. ISPRS International Journal of Geo-Information, 2018, 7(349): 1-21. (SCI) [6] Chenming Li, Hongmin Gao*, Junlin Qiu, et al. Grey Model Optimized by Particle Swarm Optimization for Data Analysis and Application of Multi-Sensors[J]. Sensors, 2018, 18(2503): 1-12. (SCI, 通信作者) [7] Huaqin Zuo, Lili Zhai, Xu Liu, Hongmin Gao*, Peipei Xu*. Prognostic significance of neutrophil-lymphocyte ratio in multiple myeloma patients[J]. Translational Cancer Research, 2018, 7(1): 88-96. (SCI, 通信作者) [8] 高红民, 李臣明, 周惠, 张振. 神经网络敏感性分析的高光谱遥感影像降维与分类方法[J]. 电子与信息学报, 2016, 38(11): 2715-2723.(中文EI) [9] Hongmin Gao, Chenming Li. An object-oriented classification for hyperspectral remote sensing images based on improved Genetic Algorithm and Support Vector Regression [J]. Journal of Computational and Theoretical Nanoscience, 2015, 12(11): 4624-4631. (EI) [10] Hongmin Gao, Lizhong Xu, Chenming Li, et al. Object-oriented classification of hyperspectral remote sensing images based on genetic algorithm and support vector machine[J]. Sensors & Transducers Journal, 2013, 157 (10): 6-13. (EI) [11] Hongmin Gao, Baohua Xu, Zhenli Ma, et al. Method of optimal scheduling of cascade reservoirs, improved chaotic ant colony algorithm, chaotic ant swarm algorithm[J]. (EI) [12] Hongmin Gao, Hui Gu, Chenming Li, et al. Water quality data measurement and analysis system equipped in underwater navigation robot[J]. Sensors & Transducers, 2013, 155(8):128-135. (EI) [13] 高红民, 李臣明, 王艳, 等. 混合编码差分进化粒子群算法及多示例学习的高光谱影像降维与分类[J]. 中国图象图形学报, 2015, 20(12): 1689-1698. (北大核心) [14] Hongmin Gao, Baohua Xu, et al. Design on three-channel CMOS synchronous polarization imaging device[J]. Wit Transactions on Information & Communication Technologies, 2014, 59:803-809. (EI) [15] Hongmin Gao, Minggang Xu, et al. A method of hyperspectral image classification based on posterior probability SVM and MRF[C]// International Conference on Machine Learning and Cybernetics. IEEE, 2014:235-240.(EI) [16] 高红民, 杨耀, 雷声, 等. 面向海港监测的高分辨率遥感影像分割方法C]// 中国水利学会2018学术年会, 2018, 1-14. [17] 周惠, 高红民, 田小敏. 基于小波变换一致性检测的遥感影像融合[J]. 计算机工程与应用, 2012, 48(35):166-173. [18] He Zhu, Hongmin Gao, Chenming Li. A novel rectangular window model-based river detection in SAR images[C]// International Conference of Information Science and Management Engineering. 2014:465-474. [19] Zhonghao Zhu, Hongmin Gao. Cascade Reservoirs Optimal Scheduling Method Based on Chaotic Ant Colony Algorithm[J]. Advanced Materials Research, 2014, 919-921:1230-1233. [20] 洪建, 李臣明, 高红民. 基于支持向量机决策树的泵站稳态工况运行下状态识别[J]. 水资源与水工程学报, 2017, 28(3):163-167. [21] Hui Zhou, Yao Yang, Hongmin Gao, et al. Design of convolutional tornado code[C]// Materials Science and Engineering Conference Series. Materials Science and Engineering Conference Series, 2017:012061.