Share Email Print
cover

Proceedings Paper

Clustering by inhomogeneous chaotic maps in landmine detection
Author(s): Carmela Marangi; Licinio Angelini; F. De Carlo; Giuseppe Nardulli; M. Pellicoro; Sebastiano Stramaglia
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

A method has been recently proposed that provides a hierarchical solution to the clustering problem under very general assumptions, relying on the cooperative behavior of an inhomogeneous lattice of chaotic coupled maps. The physical system can be seen as a chaotic neural network where neurons update is performed by logistic maps. The mutual information between couples of map acts as a similarity index to get partitions of a data set, corresponding to different resolution levels. As a result a full hierarchy of clusters is generated. Esperiments on artificial and real-life problems show the effectiveness of the proposed algorithm. Here we report the results of an application to landmine detection by dynamic thermography. Dynamic thermography allows to discriminate among objects with different thermal properties by sequential IR imaging. Detection is then obtained through segmentation of temporal sequences of infrared images. An approach is proposed that gives the correct classification by analysing very short image sequence, thus allowing a fast acquisition time. The algorithm has been successfully tested on image sequences of plastic anti-personnel mines taken from realistic minefields.

Paper Details

Date Published: 19 January 2001
PDF: 11 pages
Proc. SPIE 4170, Image and Signal Processing for Remote Sensing VI, (19 January 2001); doi: 10.1117/12.413888
Show Author Affiliations
Carmela Marangi, Univ. of Bari (Italy)
Licinio Angelini, Univ. of Bari and Istituto Nazionale di Fisica Nucleare (Italy)
F. De Carlo, Univ. of Bari and Istituto Nazionale di Fisica Nucleare (Italy)
Giuseppe Nardulli, Univ. of Bari and Istituto Nazionale di Fisica Nucleare (Italy)
M. Pellicoro, Univ. of Bari and Istituto Nazionale di Fisica Nucleare (Italy)
Sebastiano Stramaglia, Univ. of Bari and Istituto Nazionale di Fisica Nucleare (Italy)


Published in SPIE Proceedings Vol. 4170:
Image and Signal Processing for Remote Sensing VI
Sebastiano Bruno Serpico, Editor(s)

© SPIE. Terms of Use
Back to Top