14 August 2003 Texture-based segmentation of temperate-zone woodland in panchromatic IKONOS imagery
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Abstract
We have performed a study to identify optimal texture parameters for woodland segmentation in a highly non-homogeneous urban area from a temperate-zone panchromatic IKONOS image. Texture images are produced with the sum- and difference-histograms depend on two parameters: window size f and displacement step p. The four texture features yielding the best discrimination between classes are the mean, contrast, correlation and standard deviation. The f-p combinations 17-1, 17-2, 35-1 and 35-2 are those which give the best performance, with an average classification rate of 90%.
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Langis Gagnon, Langis Gagnon, Pierre Bugnet, Pierre Bugnet, Francois Cavayas, Francois Cavayas, } "Texture-based segmentation of temperate-zone woodland in panchromatic IKONOS imagery", Proc. SPIE 5097, Geo-Spatial and Temporal Image and Data Exploitation III, (14 August 2003); doi: 10.1117/12.485913; https://doi.org/10.1117/12.485913
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