Histogram clustering validation for multispectral image

被引：0
|
作者：
V. S. Sidorova
机构：
[1] Siberian Branch of the Russian Academy of Sciences,Institute of Computational Mathematics and Mathematical Geophysics
来源：
Optoelectronics, Instrumentation and Data Processing | 2007年 / 43卷 / 1期
关键词：
Quantization Level; Multispectral Image; Cluster Validation; Good Partition; Cluster Boundary;
D O I：
10.3103/S8756699007010049
中图分类号：
学科分类号：
摘要：
A measure of assessment of uncontrolled space image classification by a clustering technique based on a multivariate histogram is proposed. The measure is used to choose the best vector partitions corresponding to different detail of data representation. It is experimentally shown that well-separated unimodal clusters of the partitions correspond to representative information classes of a sensed land cover.
引用
收藏
页码：28 / 32
页数：4
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