A System for Surface Texture and Microstructure Extraction from Multiple Aerial Images
نویسندگان
چکیده
Building surfaces with textures and microstructures provide important information for many military and civilian applications. The extraction of the information from aerial imagery is diicult due to problems such as perspective distortion, data deeciency, and corruption caused by shadows and occlusions. In this paper we present a Surface Texture and Microstructure Extraction (STME) system to deal with these problems, under the assumption that an initial site model is given and suucient camera and light source information is known. The infrastructure of the system is an Orthographic Facet Image Library (OFIL) that systematically collects building facet intensities from multiple aerial images into a datebase, eliminates the eeects of shadows and occlusions, and uses a Best Piece Representation (BPR) method to form a complete and consistent intensity represen-1 tation for each facet by combining intensities from diierent sources. A window extraction module focuses attention on wall facets, attempting to extract the 2-D window patterns attached to the walls using an Oriented Region Growing (ORG) technique. Combined with the UMass Ascender site modeling system and scene rendering algorithms, the system is typically useful for urban site model reenement and visualization.
منابع مشابه
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تاریخ انتشار 1997