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：2000
卷号：XXXIII Part B4 (/1-3)
页码：694-701
出版社：Copernicus Publications
摘要：Current geographic information systems tend to follow an inherently static approach to geospatial information management. Small amounts of information are typically synthesized into map-like application-specific data snapshots. This static approach leaves large amounts of information unused and offers limited communication capabilities. Accordingly, it is unsuitable for today's applications, where geospatial information becomes increasingly dynamic and spatiotemporal in nature. In this paper we present a framework for the integration of digital images and complementary GIS datasets in a model which provides explicit information about spatiotemporal change. We propose the SpatioTemporal Gazetteer as a model that makes more effective use of multiple information resources than the traditional map model, and in particular incorporates components to track changes to objects over time. We present the general components of the model and discuss information flow in such a system. We also present a digital image analysis method, based on least squares template matching, to identify object outline change in sequences of digital images. This is a fundamental process within our integrated environment, as it integrates object extraction from digital imagery with change detection. The theoretical model for this method is presented together with experimental results
