Contour-based algorithm for vectorization of satellite images
作者： A Kirsanov , A Vavilin , KH Jo , None
DOI: 10.1109/IFOST.2010.5668109
关键词:
摘要: Process of object recognition in satellite images high resolution is a complex task associated with time consumption and complexity the operator's work. This paper describes an innovative approach for solving this problem. Based on monochromatic high-resolution (in process using data from QuickBird maximum 0.6 meters per pixel) geodata bitmap vectorized output are received (shape files). The principle image based allocation edges gradient transition threshold filter. Obtained then transformed to vector straight line detection connected components analysis. proposed method allows large size performance. performance can be improved by GPU-based computations.
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