摘要
图像分割可以快速准确地检测出目标的基本特征。但由于边缘点不连续和难以把存在大量碎边缘点的高细节区提取出来这两个原因,而不能直接实现完整意义上的目标自动提取。本文对模板匹配方法和特征提取进行了研究,提出了一种基于全色航空影像的MF算法来实现对机场目标的自动提取。
With the progress of basic theories of image science, the numerical picture processing technique gets the extensive applica- tion in many sections of national economy. Moreover, automatic identify in panchromatic aerial image has become a hotspot study. The paper studies the template match and characteristic extraction, and puts forward a kind of MF method to extract airport automatically from an aerial image. The image partition can detect the basic characteristisc of target quickly and accurately. But as the edge is not continuous and the high detail area consists of a great deal of broken point so hardly to withdraw them. Therefore, it is not tile complete meaning of automatical withdraw target. This paper puts forward a template match method which can resolve a series of problems of aerial photograph, such as, large information capacity, a lot of sparkles, great computation, and so on. It obtained the better results.
出处
《遥感信息》
CSCD
2006年第1期9-11,16,共4页
Remote Sensing Information
基金
国家自然科学基金资助项目(40401003)
中科院知识创新工程重要方向项目(KZCX3-SW-356)资助
关键词
全色航空影像
机场目标
图像分割
模板匹配
特征提取
panchromatic aerial image
airport object
image segmentation
template match
characteristic extraction
