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

被引：1
|
作者：
Gagnon, L [1 ]
Bugnet, P [1 ]
Cavayas, F [1 ]
机构：
[1] Comp Res Inst Montreal, R&D Dept, Montreal, PQ, Canada
来源：
GEO-SPATIAL AND TEMPORAL IMAGE AND DATA EXPLOITATION III | 2003年 / 5097卷
关键词：
woodland; segmentation; texture; satellite imagery; high-resolution images; panchromatic images;
D O I：
10.1117/12.485913
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
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 %.
引用
收藏
页码：130 / 140
页数：11
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