# Development Of A Fire Detection System On Satellite Images

Source: [Development Of A Fire Detection System On Satellite Images](<https://www.sota2.com/research/paper/68fa6e211e209131cea3e036>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-26T00:50:11.375Z

Authors: Sergey Yarushev, Alexey Averkin

Published: 2022-12-07T15:27:52.000Z

## Abstract

This paper discusses the development of a convolutional architecture of a deep neural network for the recognition of wildfires on satellite images. Based on the results of image classification, a fuzzy cognitive map of the analysis of the macroeconomic situation was built. The paper also considers the prospect of using hybrid cognitive models for forecasting macroeconomic indicators based on fuzzy cognitive maps using data on recognized wildfires on satellite images.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2212.03709>)

[PDF](<https://arxiv.org/pdf/2212.03709.pdf>)
