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THE USE OF NEURAL NETWORKS FOR ANALYSIS REMOTE SENSING DATA
Zarubin Oleg Aleksandrovich
Federal State Budgetary Educational Institution of Higher Education «National Research Ogarev Mordovia State University»
postgraduate student at Department of land management and landscape planning chair
Federal State Budgetary Educational Institution of Higher Education «National Research Ogarev Mordovia State University»
postgraduate student at Department of land management and landscape planning chair
Abstract
The article is devoted to the use of neural networks for analysis remote sensing data. The stages of implementation of neural network method are considered in the software package ScanEx Image Processor the example of mapping research polygon (NIP) «New Mamangino» on the basis of multispectral satellite imagery satellite Landsat-8.
Keywords: architecture of the neural network, automated interpretation multispectral satellite images, data of remote sensing, landscape and ecological system, learning, neural networks, pixel
Category: 11.00.00 Geography
Article reference:
The use of neural networks for analysis remote sensing data // Modern scientific researches and innovations. 2016. № 8 [Electronic journal]. URL: https://web.snauka.ru/en/issues/2016/08/70887
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