Clustering Algorithm for Texture Data from Remote Sensing

被引:0
|
作者
Sidorova, V. S. [1 ]
机构
[1] Russian Acad Sci, Inst Computat Math & Math Geophys, Siberian Branch, Pr Akademika Lavrenteva 6, Novosibirsk 630090, Russia
基金
俄罗斯基础研究基金会;
关键词
remote sensing; cluster analysis; multidimensional histogram; texture;
D O I
10.3103/S8756699011050050
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
A histogram-based clustering algorithm is proposed that takes into account features of the collection of image texture statistics. The algorithm allows the addition of the false clusters occurring on the boundaries of objects with different textures, thus significantly reducing their number. The clusters are analyzed by estimating their separability in the multidimensional vector space of features and the image context. The application of the algorithm to the automated recognition of types of land cover from aerial photographs of forest landscapes is considered. A comparison of cluster maps and schematic map of ground survey shows their good agreement
引用
收藏
页码:435 / 442
页数:8
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