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Vol. 15 No. 1 (2025)
Enero-Junio

Articles

Proposal of a computational method for asbestos detection in hyperspectral images based on the identification of prominent peaks in the spectral signature

https://doi.org/10.19053/uptc.20278306.v15.n1.2025.19183

Published 2025-03-31

  • Gabriel Elías Chanchí-Golondrino
    • ,
  • Manuel Alejandro Ospina-Alarcón
    • ,
  • Manuel Saba

Gabriel Elías Chanchí-Golondrino
University of Cartagena, Cartagena de Indias, Colombia image/svg+xml

Manuel Alejandro Ospina-Alarcón
University of Cartagena, Cartagena de Indias, Colombia image/svg+xml

Manuel Saba
University of Cartagena, Cartagena de Indias, Colombia, image/svg+xml

Abstract

This study proposes a computational method for asbestos detection in hyperspectral images. The methodology consists of five phases: selection of sample pixels and identification of the characteristic pixel, determination of prominent peaks in the spectral curve, method implementation with reference threshold definition, application to test images, and comparative evaluation of effectiveness and efficiency. The method identifies asbestos pixels by calculating the Euclidean distance between the prominent peaks of spectral curves. Results show no overlap between maximum distances of asbestos pixels and minimum distances of non-asbestos pixels, detecting 11.87% of asbestos pixels in the test image. Although the correlation method is 1.02% faster, the difference is negligible. This method can be extrapolated to other materials with similar spectral features, contributing to urban diagnostics of hazardous materials like asbestos.

Keywords

asbestos, hyperspectral imaging, maximum detection, remote sensing

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Author Biography

Gabriel Elías Chanchí-Golondrino

Ingeniero en Electrónica y Telecomunicaciones de la Universidad del Cauca, Doctor en Ingeniería Telemática de la Universidad del Cauca.

Manuel Alejandro Ospina-Alarcón

Ingeniero de Control de la Universidad Nacional de Colombia, Doctor en Ingeniería - Ciencia y Tecnología de Materiales de la Universidad Nacional de Colombia.

Manuel Saba

Ingeniero Civil de la Universidad de Cagliari - Italia, Doctor en Ingeniería con énfasis en Ciencia y Tecnología de Materiales de la Universidad de Cartagena - Colombia.

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