Possibilities of deep learning neural networks for satellite image recognition
Alexey Nikolaevich Averkin, Sergey Yarushev · Journal of Physics Conference Series · 2020
Abstract The main problem solved in this project is the analysis of big data using a system of computer processing and recognition of satellite images, based on a deep neural network architecture. The goal of the project is to develop methodological, theoretical and practical aspects of building such systems in poorly formalized subject areas, as well as to study the possibilities and advantages of building predictive models for analyzing fresh water reserves and predicting the direction, speed and nature of the spread of large fires using such systems. and assessments of the economic impact of these natural disasters.