Research of methods for man-made change detection on earth surface using high resolution satellite image series

In this paper, we perform the analysis and functionality research of several algorithms designed for detection of anthropogenic changes on the Earth's surface by analyzing a series of satellite images of the same area taken at different times. The greatest attention is paid to the algorithm based on the principal component analysis, the Wallflower algorithm based on Wiener filter, and the Li algorithm based on the extraction of straight line segments. The results of research of these algorithms on real series of high resolution satellite images, as well as conclusions about their usefulness are given in the paper. Also, some modifications of the algorithms designed to reduce errors and improve the quality of their work are proposed.