Many problems of image processing, remote sensing and remote control can be formulated in terms of detection of structural changes in observed multivariate temporal or spatial data. The proposed lecture considers modern methods of detection of structural changes in multivariate data and some important applications. Various methods for the effective solution of these problems are described. The most popular methods of change-point determination in the one-dimensional interpretation are given: parametrical and non-parametrical statistical methods, a wavelet analysis method. A method of detection of structural changes in a multivariate regression analysis is considered.