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Proceedings Paper

Texture-based segmentation of temperate-zone woodland in panchromatic IKONOS imagery
Author(s): Langis Gagnon; Pierre Bugnet; Francois Cavayas
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Paper 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%.

Paper Details

Date Published: 14 August 2003
PDF: 11 pages
Proc. SPIE 5097, Geo-Spatial and Temporal Image and Data Exploitation III, (14 August 2003); doi: 10.1117/12.485913
Show Author Affiliations
Langis Gagnon, Computer Research Institute of Montreal (Canada)
Pierre Bugnet, Computer Research Institute of Montreal (Canada)
Montreal Univ. (Canada)
Francois Cavayas, Montreal Univ. (Canada)


Published in SPIE Proceedings Vol. 5097:
Geo-Spatial and Temporal Image and Data Exploitation III
Nickolas L. Faust; William E. Roper, Editor(s)

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