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Novel approach of crater detection by crater candidate region selection and matrix-pattern-oriented least squares support vector machine

ISSN号：1000-9361
期刊名称：《中国航空学报：英文版》
分类：TP274[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置] U491.4[交通运输工程—交通运输规划与管理;交通运输工程—道路与铁道工程]
作者机构：[1]College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China, [2]College of Autornation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
相关基金：co-supported by the National Natural Science Foundation of China （No. 61203170）; the Fundamental Research Funds for the Central Universities （No. NS2012026）; Startup Foundation for Introduced Talents of Nanjing University of Aeronautics and Astronautics （No. 1007-YAH10047）

作者： Ding Meng[1], Cao Yunfeng[2], Wu Qingxian[2]

关键词：最小二乘支持向量机, 候选区域, 陨石坑, 矩阵模式, 检测, 和面, 图像矩阵, 存储空间, Crater candidate region Crater detection algorithm Kanade–Lucas–Tomasi detector Least squares support vector machine Matrixization

中文摘要：

Ding Meng received B.S., M.S. and Ph.D. degrees from Nanjing University of Aeronautics and Astronautics in 2003, 2006 and 2010 respectively. Currently, he is a lecturer of NUAA. His main research interests are machine vision, guidance, navigation and control. Corresponding author. Tel.：＋ 86 25 85368892. E-mail address： nuaa_dm@hotmail.com （M. Ding）.

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