1、发表学术论文: [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 Classi?cation Based on Overlap Pooling[J]. Neural Processing Letters, 2018, 1-20. (DOI:10.1007/s11063-018-9876-7)(SCI) [4] 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) [5] 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) [6] 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) [7] 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) [8] 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) [9] 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) [10] 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) [11] 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) [12] 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. [13] 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. [14] Zhonghao Zhu, Hongmin Gao. Cascade Reservoirs Optimal Scheduling Method Based on Chaotic Ant Colony Algorithm[J]. Advanced Materials Research, 2014, 919-921:1230-1233. [15] 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. [16] 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. [17] Chenming Li, Shuo Lin, Hongmin Gao, et al. The Monitoring System of Pumping Station Based on FPGA[C]// International Conference on Energy and Environmental Protection. 2017. [18] Chenming Li, Yan Wang, Hongmin Gao, et al. Band Selection for Hyperspectral Image Classification Based on Improved Particle Swarm Optimization Algorithm[J]. Advanced Materials Research, 2014, 889-890(21):1073-1077. (EI) [19] 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. [20] Zhen Zhang, Huibin Wang, Xijun Yan, Hongmin Gao, et al. Sensitivity analysis and uncertainty evaluation of space-time image velocimetry[J]. Chinese Journal of Scientific Instrument, 2017. [21] Lili Zhang, Qing Ye, Yehong Shao, Chenming Li, Hongmin Gao. An Efficient Hierarchy Algorithm for Community Detection in Complex Networks[J]. Mathematical Problems in Engineering,2014,(2014-10-23), 2014, 2014(5). (SCI) [22] Xin Wang, Siqiu Shen, Ning Chen, Fengchen Huang, Hongmin Gao. Multi-class remote sensing object recognition based on discriminative sparse representation[J]. Appl Opt, 2016, 55(6):1381-1394. (SCI) 2、已授权专利: [1] 一种高光谱遥感图像的智能化分类方法: 国家发明专利, 2016, ZL201310288964.6, 排名1. [2] 一种基于博弈论的多目标高光谱遥感影像波段选择方法: 国家发明专利,2018,ZL201510153063.5,排名1. [3] 一种高光谱遥感影像波段选择方法: 国家发明专利,2018,ZL201510129917.6,排名1. [4] 一种水位报警装置: 实用新型专利, 2018,ZL201721696718.4, 排名1. [5] 一种无人机机载遥感物探仪: 实用新型专利, 2018, ZL201721696720.1, 排名1. [6] 一种水库水位监控器: 实用新型专利, 2018, ZL201721753249.5, 排名1. [7] 雷达电波流速自动测验系统: 实用新型专利, 2012, ZL201120432136.1, 排名1. [8] 一种基于相关系数的高光谱图像波段选择方法: 国家发明专利, 2017, ZL201410459608.0, 排名2. [9] 一种基于欧氏距离正则化的SAR图像超分辨率重建方法: 国家发明专利,2017, ZL201610551986.0,排名2. [10] 一种应用神经网络敏感性分析的高光谱遥感影像波段选择方法: 国家发明专利,2018,ZL201510162319.9,排名2. [11]一种高光谱降噪处理系统: 实用新型专利, 2015, ZL2015 20383124.2,排名2. [12] 一种对象级高分辨率SAR影像洪水灾害变化检测方法: 国家发明专利,2017,ZL201410573002.X,排名3. [13] 联合灰度阈值分割及轮廓形态识别的SAR图像河道提取方法: 国家发明专利,2017,ZL201410189305.1,排名3. [14] 基于最小外接矩形窗河道分段模型的SAR图像河道提取方法: 国家发明专利,2017,ZL201310738152.7,排名3. [15] 一种高光谱图像分类系统: 实用新型专利, 2015, ZL2015 20383209.0, 排名3. [16] 一种泵站排涝装置: 实用新型专利, 2018,ZL201721455182.7, 排名3. [17] 一种给排水泵站: 实用新型专利, 2018,ZL201721455034.5, 排名3. [18] 一种支持时间调整和紧急情况处理的交通灯控制方法: 国家发明专利,2017,ZL201510416763.9,排名4. [19] 基于Web动态参与的分布式并行计算平台系统: 国家发明专利,2013,ZL201310096645.5,排名4. [20] 抗脉冲干扰的多时相SAR图像多层贝叶斯盲解卷积方法: 国家发明专利,2015,ZL201510780081.4,排名4. [21] 基于多尺度融合的对象级高分辨率遥感影像变化检测方法: 国家发明专利,2013,ZL201310379249.3,排名5. [22] 一种海量数据多线程并行处理中的负载均衡方法: 国家发明专利,2015,ZL201510315602.7),排名6. [23] 基于最佳尺度的高分辨率合成孔径雷达遥感检测方法: 国家发明专利,2012, ZL201210005522.1, 排名7 3、出版学术专著: 《高分辨率遥感影像处理方法及应用》(ISBN 978-7-03-051935-1).科学出版社, 2017-03,排名3. 4、计算机软件著作权: [1] 级联系统运行实时工况评估检测软件V1.0, 软著登字第2047219号, 登记号:2017SR461935, 完成日期: 2016.10.2. [2] 站内多机组——并联站群——梯级泵站群优化运行调度软件V1.0, 软著登字第2051645号, 登记号: 2017SR466361, 完成日期: 2016.12.08. [3] 关键绩效指标分析评估监测软件V1.0,软著登字第2051685号, 登记号:2017SR466401, 完成日期:2017.03.08. |