Nonparametric grid-based clustering algorithm for remote sensing data
I. A. Pestunov and Yu. N. Sinyavsky
Novosibirsk
Pages: 78-85
Abstract
A fast nonparametric automatic classification algorithm for multispectral aerospace image segmentation is proposed. The algorithm is based on forming a cell-like data structure in the space of spectral features and using it in the iterative mean shift procedure for seeking local modes of the density function. Results of testing on model and real aerospace data are presented.
