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：2008
卷号：XXXVII Part B7
页码：983-988
出版社：Copernicus Publications
摘要：One of the most important tools in order to model real world phenomena is Geographic Information System. Real world phenomena are changing continuously, so it is necessary to detect and introduce changes to system in order to update GIS databases and model real world correctly. Geometric stability and high spatial resolution of aerial images leads to detect changes precisely. It is necessary to consider that feature recognition and extraction processes are two important stages in all of the change detection methods in which accurate results in detecting geometrical changes depends on performance of theses two stages. Each of these stages needs to use image processing algorithms. On the other hand, these algorithms are complicated, time consuming and the performance of them depends on specific conditions such as image acquisition conditions and so on. Therefore using the methods with low dependency on image processing can reduce these problems and increase the accuracy and reliability of the results. To achieve this aim, the integration of aerial photos and GIS spatial databases is suggested. In this research, a new algorithm was designed and implemented for automatic change detection of buildings based on the development of least squared matching technique. The accuracy assessment showed that change percentage of the regions that the algorithm can detect their changes correctly is 70% and the precision of this novel approach to approximate extracted edges with the real ones is 0.45 pixels
