We discuss a fully automatic technique for extracting roads in urban environments. The method has its bases in a vegetation mask derived from multispectral IKONOS data and in texture derived from panchromatic IKONOS d...
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We discuss a fully automatic technique for extracting roads in urban environments. The method has its bases in a vegetation mask derived from multispectral IKONOS data and in texture derived from panchromatic IKONOS data. These two techniques together are used to distinguish road pixels. We then move from individual pixels to an object-based representation that allows reasoning on a higher level. Recognition of individual segments and intersections and the relationships among them are used to determine underlying road structure and to then logically hypothesize the existence of additional road network components. We show results on an image of San Diego, California. The object-based processing component may be adapted to utilize other basis techniques as well, and could be used to build a road network in any scene having a straight-line structured topology. (C) 2002 Society of Photo-Optical Instrumentation Engineers.
The DSP architecture PRISMA for object-based video signal processing is presented in this paper. Considering the specific hardware requirements of object-based algorithms a parallel architecture has been developed, wh...
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ISBN:
(纸本)0819424323
The DSP architecture PRISMA for object-based video signal processing is presented in this paper. Considering the specific hardware requirements of object-based algorithms a parallel architecture has been developed, which consists of 8 programmable data paths. To utilize the processing pourer provided by these data paths, a new controlling scheme is employed by the PRISMA processor This Dynamic Associative Controlling distributes 3 independent instruction streams to the 8 data paths and comprises the advantages of alternative controlling approaches, like SIMD and MlMD. It allows an efficient excecution of data-dependent operations as well as a flexible partitioning of the processing resources at runtime, which is advantageous for parallel processing of concurrent objects with different performance requirements.
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