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

页码：130 / 140

页数：11

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