Images of a multilayer structure are fairly often encountered in pract
ical problems of the recognition and analysis of subjects. These inclu
de multizonal video photographs obtained by remote sensing in the visi
ble part of the spectrum and in the infrared band, as well as radar im
ages. The most important information in such photographs lies in the c
hanges between the images of the same subject obtained in different sp
ectral bands. An analysis of the nature of these changes enables one t
o extract additional information on the state and characteristics of t
he objects being observed, for example, vegetation on the Earth's surf
ace, ice, stretches of water etc. The second group of multilayer image
s consists of cartographic information, superimposed on maps of the di
stribution of the chemical composition of the cell, geobotanical, biol
ogical-soil and other characteristics of the Earth's forests or tilled
fields. The functional agreement between these characteristics in spa
tial coordinates enables one to obtain not only a more-accurate estima
te of the Earth's resources, but also to solve problems of optimizing
the composition of the soil for different climatic zones or different
forms of agriculture. Finally, multilayer images can include superimpo
sed maps of roads and drainage systems, and city communciations and ne
tworks. It is important to note that a multilayer (or multizonal) anal
ysis of all the above images is best carried out when and only when th
ere are correlations between the layers and it is necessary to investi
gate or estimate their mutual influence. Although the problems involve
d in forming images in separate spectral bands and the effects on them
of atmospheric distortions, cloud cover, illumination etc. are known
and are described in [1], the problem of an overall analysis of interz
onal transitions without being tied to the physical nature of the subj
ects has not so far been solved. In this paper we propose to analyze i
nterzonal transitions using multidimensional-matrix structures. These
enable us to introduce a number of new ideas which are easy to investi
gate in practice.