AgentGeo: Sistema multiagente de mineração de dados em imagens de satélite
(AgentGeo: Multi-Agent System of Satellite Images Mining)
Nicksson Ckayo Arrais de Freitas (email@example.com)1, Pedro Pedrosa Rebouças Filho (firstname.lastname@example.org)1, Ciro Daniel Gurgel de Moura (email@example.com)2, Marcelino Pereira dos Santos Silva (firstname.lastname@example.org)3
1Instituto Federal de Ciência e Tecnologia do Ceará (IFCE), Fortaleza, Ceará, Brazil2Instituto Federal de Ciência e Tecnologia do Rio Grande do Norte (IFRN), Pau dos Ferros, Rio Grande do Norte, Brazil3Universidade do Estado do Rio Grande do Norte (UERN), Mossoró, Rio Grande do Norte, Brazil
This paper appears in: Revista IEEE América Latina
Publication Date: March 2016
Volume: 14, Issue: 3
The continuing growth, availability and demand for remote sensing data combined with human impossibility in manual and individual analysis of these data leads to a need to investigate new tools and techniques for automated analysis (or semi-automatic) and intelligent remote sensing databases. Mining images is an alternative for explore large database of remote sensing images, which are methods to discover patterns in the image repository. The multi-agent systems have features that, properly implemented, can bring significant improvements in analysis of satellite images. In this context, the aim of this paper is to present the AgentGeo, a multi-agent system of satellite image mining capable of performing the classification process with multiple images at a time. The AgentGeo implements functions such as creation, edition and selection of agents, selection and creation of the environment and use of agents mining to mine the satellite imagery. This system was developed in Java and uses features from TerraView and GeoDMA. The results of the classification process were satisfactory once the developed agents had an accuracy better than 90% when compared to Google Maps images.
Multi-agent system, Mining Images, Agents Mining, AgentGeo.
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