Texture-based segmentation of temperate-zone woodland in panchromatic IKONOS imagery

Langis Gagnon; Pierre Bugnet; Francois Cavayas

doi:10.1117/12.485913

14 August 2003 Texture-based segmentation of temperate-zone woodland in panchromatic IKONOS imagery

Langis Gagnon, Pierre Bugnet, Francois Cavayas

Proceedings Volume 5097, Geo-Spatial and Temporal Image and Data Exploitation III; (2003) https://doi.org/10.1117/12.485913
Event: AeroSense 2003, 2003, Orlando, Florida, United States

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%.

Citation Download Citation

Langis Gagnon, Pierre Bugnet, and 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); https://doi.org/10.1117/12.485913

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