基于遥感图像分层特征的机场目标识别系统研究  

Research on object recognition of remote sensing airport image based on multilayer features

作　　者：张军[1] 

机构地区：[1]天津职业技术师范大学天津市现场总线控制技术工程中心,天津300222

出　　处：《天津职业技术师范大学学报》2011年第2期1-5,共5页Journal of Tianjin University of Technology and Education

基　　金：国家自然科学基金项目(61071204)

摘　　要：讨论和研究了面向人造目标的遥感图像目标分层特征模型、基于目标分层特征的遥感图像属性以及目标关键特征属性的提取方法,并针对遥感图像中机场目标的检测与识别,提出了机场遥感图像的分层特征描述内容以及基于分层特征遥感图像机场目标检测识别系统的构架。The detection and recognition of man-made object is an important topic in remote sensing image, which discusses the multi-layer feature models with man-made as its object in remote sensing. Based on the remote sensing properties of man-made object multi-layer features, the methods of extraction of key features of object are studied, and the multi-layer features of remote sensing image of airport is proposed for the detection and recognition of airport object. And based on the multi-layer features, the system frame work for detection and recognition of airport object from remote sensing image are presented.

关 键 词：遥感图像 人造目标 机场 分层特征 识别 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置]