[1] 黄敏, 钮中铭, 张小兰, 等. 基于GIS-T的交通仿真路网构建研究[J]. 系统仿真学报, 2017, 29(3): 531-536. (Huang Min, Niu Zhongming, Zhang Xiaolan, et al.Research of the Construction of GIS-T Traffic Simulation Road Network[J]. Journal of System Simulation (S1004-731X), 2017, 29(3): 531-536.) [2] 魏平顺. 智能交通系统中车标图像识别技术研究 [D]. 南京: 南京理工大学, 2013. (Wei Pingshun.Research on the recognition technology of vehicle logos in intelligent transportation system [D]. Nanjing, China: Nanjing University of Technology, 2013.) [3] 李侠, 李文举, 孙娟红, 等. 基于模板匹配和边缘检测的车标定位方法[J]. 计算机工程与设计, 2011, 32(10): 3453-3456. (Li Xia, Li Wenju, Sun Juanhong, et al.Approach for vehicle-logo location based on template matching and edge detection[J]. Computer Engineering and Design, 2011, 32(10): 3453-3456.) [4] 周阳. 基于图像的车标定位与识别 [D]. 北京: 北方工业大学, 2015. (Zhou Yang.Image based vehicle logo location and recognition [D]. Beijing, China: North China University of Technology, 2015.) [5] 李熙莹, 吕硕, 袁敏贤. 基于散热器栅格背景精确分类的车标定位方法[J]. 计算机工程与应用, 2017, 53(2): 206-213. (Li Xiying, Lv Shuo, Yuan Minxian.Vehicle logo location method based on accurate radiator grid back-ground classification[J]. Computer Engineering and Applications, 2017, 53(2): 206-213.) [6] 朱资淘. 基于SIFT算子的车标识别软件 [D]. 广州: 华南理工大学, 2013. (Zhu Zitao.Vehicle Logo recognition software based on SIFT operator [D]. Guangzhou, China: South China University of Technology, 2013.) [7] 陈舜杰. 快速车标识别算法的研究 [D]. 上海: 上海交通大学, 2013. (Chen Shunjie.Research on the rapid recognition algorithm of the vehicle logo [D]. Shanghai, China: Shanghai Jiaotong University, 2013.) [8] 王建. 基于图像的智能交通系统中车标识别技术研究 [D]. 南京: 南京理工大学, 2014. (Wang Jian.The research of vehicle logo recognition technology in intelligent transportation system [D]. Nanjing, China: Nanjing University of Technology, 2014.) [9] 王永杰, 裴明涛, 贾云得. 多信息融合的快速车牌定位[J]. 中国图象图形学报, 2014, 19(3): 471-475. (Wang Yongjie, Pei Mingtao, Jia Yunde.License plate detection based on multiple features[J]. Journal of Image and Graphics, 2014, 19(3): 471-475.) [10] 周爱珍. 基于稀疏采样的医学成像方法研究 [D]. 广州: 南方医科大学, 2011. (Zhou Aizhen.Research on medical imaging method based on sparse sampling [D]. Guangzhou, China: Southern Medical University, 2011.) [11] Hongyin Shi, Baojing Jia.SAR imaging method based on coprime sampling and nested sparse sampling[J]. Journal of Systems Engineering and Electronics (S1004-4132), 2015, 6: 1222-1228. |