Quantitative Analysis of Multispectral Space Images of Urban Agglomerations. Part 2

Abstract

The article on the basis of experimental studies shows the possibility of using modern methods of automated processing of multispectral space images to study the spatial structure of urban agglomerations and assess the state of the components of the urban landscape. The first part of the article presents the results of the use of classification andlineament analysis for the matic interpretation of multispectral space images of urban agglomerations. The second part of the article presents the results of the use of multifractal analysis and the method of diagrams "entropy  complexity" for the quantitative description of the spatial organization and the degree of structural variability of urban agglomerations in their space images. The calculated multifractal spectra demonstrate the variability of multifractal characteristics for different urban agglomerations of the Hanoi metropolis, indicating the heterogeneity of the spatial structure of the metropolis, which can be parametrized by multifractal spectra.

The prospects of using quantitative analysis of satellite imageslies in the fact that on its basis it is possible to perform analysis and evaluation of the spatial structure of urban agglomeration in General, and within its boundaries of urban settlements based on quantitative criteria, determined by remote sensing.