遥感图像中机场目标的识别方法  

Method of airport recognition in remote sensing image

作　　者：陈旭光[1] 林卉[2] 

机构地区：[1]徐州师范大学现代教育技术中心,江苏徐州221116 [2]徐州师范大学测绘学院,江苏徐州221116

出　　处：《计算机工程与应用》2012年第25期194-197,216,共5页Computer Engineering and Applications

基　　金：江西省数字国土重点实验室开放基金(No.DLLJ201009)

摘　　要：机场识别作为模式识别领域的问题之一,在军事上有着重要的应用前景。它包括判断机场是否存在和机场定位两个方面。结合已有的方法,提出了一种新的机场识别的解决方案。该方案先使用阈值分割方法进行图像分割,然后利用像素标记法提取出最大连通区域,作为疑是机场区域(ROI);用Canny算子进行图像的边缘提取,提出了一种改进的Hough变换,能够从边缘图像中准确地提取出直线段,并最终实现机场跑道的定位。As one of the problems in the pattem recognition domain, the airport recognition has a significant application prospect in the military affairs. It contains two aspects： identification of airport and localization of runway. A new method to solve the problem of airport recognition is presented. The method of threshold value division is applied to the image, and the pixels marking method is used to extract the maximum cross-connection domain as possible airport area （ROI）, then Canny operator is used to extract the edge of the image. By using an improved Hough transform method, straight line can be precisely extracted from the edge image and locate the airport runway.

关 键 词：边缘检测 HOUGH变换 机场识别 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]