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：2005
卷号：XXXVI-5/W17
出版社：Copernicus Publications
摘要：Improvements in sensor technology and modeling capabilities have resulted in a trend towards generating large-scale VR models of urban scenes, for use in geospatial applications. Selecting the appropriate imagery to generate VR models from a large collection of available ground-level photos is currently performed through visual inspection. In this paper we introduce well-defined metrics to support the automation of this time-consuming task. We make use of geometric and radiometric suitability metrics, describing image suitability for optimal image selection to use in VR modeling. In the paper we present these metrics, and demonstrate the applicability of our approach through experiments
