Development Of A Fire Detection System On Satellite Images
This work addresses fire detection for environmental monitoring and economic analysis, but it appears incremental as it combines existing methods like CNNs and fuzzy cognitive maps.
The paper developed a convolutional neural network to detect wildfires in satellite images and used the classification results to build a fuzzy cognitive map for analyzing macroeconomic situations, with potential applications in forecasting macroeconomic indicators.
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.