张军国
近期热点
资料介绍
个人简历
教育背景1996-2000,中国矿业大学,电气工程及其自动化专业,获工学学士学位;2000-2003,中国矿业大学,电力系统及其自动化学科,获工学硕士学位;2006-2009,北京林业大学工学院,森林工程学科,获工学博士学位;2011-2012,美国农业部林产品实验室做访问学者1年近期论文
代表性论文① Feng W, Hu C, Wang Y, Zhang J*, et al. A Novel Hierarchical Coding Progressive Transmission Method for WMSN Wildlife Images[J]. Sensors, 2019, 19(4): 946-959;② Li T, Zhao E, Zhang J*, Hu C. Detection of Wildfire Smoke Images Based on a Densely Dilated Convolutional Network[J]. Electronics, 2019, 8(10), 1131;③ Xie J, Li A, Zhang J*, et al. An Integrated Wildlife Recognition Model Based on Multi-Branch Aggregation and Squeeze-And-Excitation Network[J]. Applied Sciences, 2019, 9(14): 2794;④ Liu W, Liu H, Wang Y, Zhang J*, et al. A Novel Extraction Method for Wildlife Monitoring Images with Wireless Multimedia Sensor Networks (WMSNs)[J]. Applied Sciences, 2019, 9, 2276;⑤ 刘文定,田洪宝,谢将剑,赵恩庭,张军国*. 基于全卷积神经网络的林区航拍图像虫害区域识别方法[J].农业机械学报,2019,50(3): 179-185;⑥ Feng W, Zhang J*, Hu C, Wang Y, et al. A Novel Saliency Detection Method for Wild Animal Monitoring Images with WMSN[J]. Journal of Sensors, 2018, 2018, Article ID 3238140;⑦ 陈劭, 郭宇翔, 高天啸, 宫清源,张军国*. 移动机器人RGB-D视觉SLAM算法[J]. 农业机械学报, 2018, 49(10):45-52;⑧ 张军国,程浙安,胡春鹤,陈宸,鲍伟东.野生动物监测光照自适应Retinex图像增强算法[J].农业工程学报,2018,34(15): 183-189;⑨ 刘文定, 李安琪, 张军国*等. 基于ROI-CNN的赛罕乌拉国家级自然保护区陆生野生动物自动识别[J].北京林业大学学报, 2018, 40(08):127-135;⑩ Zhang J*, Xiang Q, Yin Y, et al. Adaptive Compressed Sensing for Wireless Image Sensor Networks[J]. Multimedia Tools & Applications, 2016,76(3):4227-4242。 相关热点