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Agented: Multi-Agent System of Satellite Images Mining
Abstract:
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.
Miningimages 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.