论文标题

卫星图像识别模型的概述

Overview Of Satellite Image Recognition Models

论文作者

Averkin, Alexey, Yarushev, Sergey

论文摘要

在本文中,对卫星图像识别的现有模型进行了分析,考虑了卫星图像识别领域的问题作为信息来源并进行了分析,比较了深度学习方法,并分析了现有的图像识别方法。所获得的结果将用作基于卫星图像的火灾识别模型的前瞻性开发的基础,并将使用识别结果用作预测基于模糊认知图的宏观经济状况的认知模型的输入数据。

In this article, the analysis of existing models of satellite image recognition was carried out, the problems in the field of satellite image recognition as a source of information were considered and analyzed, deep learning methods were compared, and existing image recognition methods were analyzed. The results obtained will be used as a basis for the prospective development of a fire recognition model based on satellite images and the use of recognition results as input data for a cognitive model of forecasting the macro-economic situation based on fuzzy cognitive maps.

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