Paper Info
Title
ACA Multiagent System for Satellite Image Classification.
Abstract
In this paper, we present a multiagent system for satellite image classification. With this aim we will describe a new classification algorithm based on cellular automata called ACA (Algorithm based on Cellular Automata). This algorithm can be modeled by agents. Actually, there are different classification algorithms, such as minimum distance and parallelepiped classifiers, but none is full-reliable in terms of quality. One of the main advantages of ACA is to provide a mechanism which offers a hierarchical classification divided into levels of reliability with a final quality optimized through contextual techniques. Finally, we have developed a multiagent system which allows to classify satellite images in the SOLERES framework.
Year
DOI
Venue
2012
10.1007/978-3-642-28795-4_11
TRENDS IN PRACTICAL APPLICATIONS OF AGENTS AND MULTIAGENT SYSTEMS
Field
DocType
Volume
Cellular automaton,Computer vision,Satellite image classification,Satellite,Contextual information,Pattern recognition,Computer science,Artificial intelligence,Statistical classification,Satellite image,Parallelepiped
Conference
157
ISSN
Citations 
PageRank 
1867-5662
1
0.36
References 
Authors
3
6
Name
Order
Citations
PageRank
Moises Espinola1133.07
Jose A. Piedra-Fernández2163.58
Rosa Ayala3305.62
Luis Iribarne424238.54
Saturnino Leguizamón572.21
Massimo Menenti611630.77