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[1] 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, 中信所二区)
[2] Chenming Li, Simon X. Yang, Yao Yang, Hongmin Gao, et al. Hyperspectral Remote Sensing Image Classification Based on Maximum Overlap Pooling Convolutional Neural Network[J]. Sensors, 2018, 18(3587): 1-12. (SCI, 中信所二区)
[3] Chenming Li, Yongchang Wang, Xiaoke Zhang, Hongmin Gao*, Yao Yang, et al. Deep belief network for spectral⁻spatial classification of hyperspectral remote sensor data[J]. Sensors, 2019, 19(204): 1-13. (SCI, 中信所三区)
[4] Chenming Li, Hongmin Gao*, Yao Yang, Xiaoyu Qu, Wenjing Yuan. Segmentation method of high resolution remote sensing image for fast target recognition[J]. International Journal of Robotics and Automation, 2019, 34(3):216-224. (SCI, 中信所四区)
[5] Chenming Li, Xiaoyu Qu, Yao Yang, Hongmin Gao*, Dan Yao, Wenjing Yuan. High-resolution remote sensing image segmentation method based on SRELU[J]. International Journal of Robotics and Automation, 2019, 34(3):225-234. (SCI, 中信所四区)
[6] Chenming Li, Lei Zhu, Zhiyao He, Hongmin Gao*, Yao Yang, Dan Yao, Xiaoyu Qu. Runoff Prediction Method Based on Adaptive Elman Neural Network[J].Water, 2019, 11(6):1113.(SCI, 中信所三区)
[7] Chenming Li, Fengzhou Wang, Xiaodong Wei, Zhenli Ma. Solution Method Of Optimal Scheme Set For Water Resources Scheduling Group Decision-Mahing Based On Multi-Agent Computation[J]. Intelligent Automation & Soft Computing, 2011, 17(7):871-883. (SCI, 中信所四区)
[8] He Zhu, Chenming Li*, Lili Zhang, Jie Shen.River Channel Extraction From SAR Images by Combining Gray and Morphological Features[J]. Circuits, Systems, and Signal Processing, 2015, 34(7):2271-2286. (SCI, 学生第一, 中信所三区)
[9] Hongmin Gao, Yao Yang, Sheng Lei, Chenming Li*, Hui Zhou, Xiaoyu Qu. Multi-branch fusion network for hyperspectral image classification[J]. Knowledge-based Systems, 2019, 167(2019): 11-25. (SCI, IF=4.396, 中信所二区)
[10] Hongmin Gao, Shuo Lin, Chenming Li*, Yao Yang. Application of hyperspectral image classification based on overlap pooling[J]. Neural Processing Letters, 2019, 1-20. (DOI: 10.1007/s11063-018-9876-7) (SCI, 中信所三区)
[11] 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, 中信所三区)
[12] Hongmin Gao, Yao Yang, Xiaoke Zhang, Chenming Li*, Qi Yang, Yongchang Wang. Dimension Reduction for Hyperspectral Remote Sensor Data Based on Multi-Objective Particle Swarm Optimization Algorithm and Game Theory[J]. Sensors, 2019, 19(1327): 1-21. (SCI, 中信所三区)
[13] 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, 中信所四区)
[14] Chenming Li, Shuo Lin, Hongmin Gao, Liquan Sun. The Monitoring System of Pumping Station Based on FPGA[J].Proceedings of the 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017), 2017, 143:1236-1242.(EI)
[15] Chenming Li, Jianhua Peng, Huibin Wang, Simon X. Yang. A flood prediction method based on streaming big data processing[J].2017 IEEE International Conference on Information and Automation (ICIA), 2017, 2017:898-902.(EI)
[16] Chenming Li, Lihua Zhao, Xuewen Wu, Lizhong Xu. Adjust Methods of Floodgates Based on Flow Forecast Information[J]. Journal of Irrigation & Drainage, 2015,34(3):70-74. (EI)
[17] Chenming Li, Shiming Zhang, Changli Li. A Constrained Sparse Algorithm for Nonnegative Matrix Factorization[J].Journal of Sichuan University. Engineering Science Edition, 2015, 47(2):108-111. (EI)
[18] Chenming Li, Zhe Chen, Jie Shen, Xin Wang, Huibin Wang. Principal Component Analysis Based Underwater Object Recognition[J]. Advanced Materials Research, 2013, 850-851:817-820. (EI)
[19] Chenming Li, Yan Wang, Hongmin Gao, Lili Zhang. Band Selection for Hyperspectral Image Classification Based on Improved Particle Swarm Optimization Algorithm[J]. Advanced Materials Research, 2014, 889-890:1073-1077. (EI)
[20] Chenming Li, Zhe Chen, Jie Shen,Xin Wang, HuibinWang. Principal Component Analysis Based Underwater Object Recognition[J]. Advanced Materials Research, 2013, 850-851:817-820.(EI)
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