Histogram clustering validation for multispectral image
Valeria Sidorova · Optoelectronics Instrumentation and Data Processing · 2007
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.