July 2022
Beginner to intermediate
352 pages
10h 14m
English
book
Artificial Intelligence in Industry 4.0 and 5G Technology
by Pandian Vasant, Elias Munapo, J. Joshua Thomas, Gerhard-Wilhelm Weber
Content preview from Artificial Intelligence in Industry 4.0 and 5G Technology
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4Neural Network Approach to Segmentation of Economic Infrastructure Objects on High‐Resolution Satellite Images
Vladimir A. Kozub1,2, Alexander B. Murynin2,3, Igor S. Litvinchev3, Ivan A. Matveev3, and Pandian Vasant4
1Moscow Institute of Physics and Technology, Department of Control and Applied Mathematics, Dolgoprudny, Moscow Region, 141701, Russia
2AEROCOSMOS Research Institute for Aerospace Monitoring, Gorohovsky per., 4, Moscow, 105064, Russia
3Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Dorodnicyn Computing Center, Vavilov str., 44/2, Moscow, 119333, Russia
4Ton Duc Thang University, Modeling Evolutionary Algorithms Simulation & Artificial Intelligence (MERLIN), Faculty of Electrical & Electronic Engineering, Ho Chi Minh City, 700000, Vietnam
4.1 Introduction
In the last decade, due to the active development of digital technologies for aerospace imagery, the possibility of automated collection and processing of satellite information has emerged. This information can be used to predict the yield of agricultural land, monitor deforestation and water resources, evaluate the tree species reserves, etc. In the case of artificial objects – buildings, cars, roads, and railways – the analysis of satellite information allows assessing the population of the area, helps in logistics, gives hints on possible hazards, etc. In achieving these goals, three‐dimensional (3D) models of urban economic infrastructure can be of significant help. ...
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