Vol. 8, issue 07, article # 18

pdf Gridnev Yu. V., Protasov K. T. Segmentation of multidimensional images by clustering algorithm based on a bilateral criterion for homogeneity. // Atmospheric and oceanic optics. 1995. V. 8. No. 07. P. 1103-1111.
Copy the reference to clipboard
Abstract:

An algorithm for automatic image classification based on a bilateral criterion for homogeneity of multidimensional samples with the use of the Kolmogorov-Smirnov distance has been proposed to solve problems of thematic interpretation of aerospace video data obtained from observations of the Earth's underlying surface and cloudiness. Applicability to a set of adjusted images in multispectral channels of visible, IR, and microwave ranges of electromagnetic spectrum is a salient feature of the constructed algorithm.