A Comparative Study of Texture Measures for Terrain Classification.
MARYLAND UNIV COLLEGE PARK COMPUTER SCIENCE CENTER
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Three standard approaches to automatic texture classification make use of features based on the Fourier power spectrum, on gray level co-occurrences, and on statistics of local properties, respectively. In this paper, features of these types are applied to a set of 54 picture samples taken from aerial photographs of nine terrain types Lake, Marsh, Orchard, Railroad, Scrub, Suburb, Swamp, Urban, and Woods. Classification results are compared for individual features and pairs of features within each feature class. In general, the Fourier based features performed poorest, while those based on statistics of gray level differences performed best.
- Cartography and Aerial Photography