期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2004
卷号：XXXV Part B3
页码：887-890
出版社：Copernicus Publications
摘要：In recent years, the spatial resolution of remote sensing image becomes much more higher then ten years ago. There are more information reflected by modern remote sensing image. The research of image processing and analyzing based on traditional low resolution image has already not satisfied the need for people to get more accuracy information from high resolution remote sensing image. People want to get information about some particular objects and the change about a particular area from remote sensing image, this is particularly important to the urban plan and disaster surveillance. On the base of analysis of the conventional methods for information extracting from the remote sensing image, a method of extraction particular object in remote sensing image based on feature template correlation is proposed. The method includes three parts: building the template, image match and template correlations, and object recognition. The methods are applied to several high-resolution example images, and vehicles as example object in the image are extracted and recognized. Those examples illuminate that the method proposed in this paper is effective and accuracy
关键词：Correlation; Matching; Extraction; High resolution; Object Recognition
