Applying doubly stochastic filters to evaluate the dynamics of object sizes on satellite image sequences

Abstract

One of the important tasks facing the regional authorities is to monitor the condition of roads and power lines. In the Ulyanovsk region more than 8 thousand km of power lines and more than 9 thousand km of roads (including rural). A significant part of these facilities is located outside the settlements in places with medium and low availability. In many such places there is a problem of uncontrolled forest overgrowth. This work is devoted to solving the problem of automated satellite monitoring of such areas. For this purpose, it is proposed to use a modified convolutional neural network that processes time sequences of multispectral satellite images and allows to allocate territories occupied by forest and undergrowth with high accuracy. This approach allows us to assess the dynamics of overgrowth of the territory and perform the appropriate forecast with sufficient accuracy for practice.