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Proposal of a method for asbestos detection in hyperspectral images based on spectral differential similarity

Considering that one of the challenges of hyperspectral imaging is identifying methods that enable the effective and efficient detection of materials, this article proposes a new method for detecting asbestos in hyperspectral images based on spectral differential similarity. This method determines h...

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Principais autores: Gabriel Elías Chanchí Golondrino, Manuel Saba, Manuel Alejando Ospina Alarcón
Format: Artigo
Jezik:Inglês
Izdano: Universidad de Pamplona 2025-01-01
Serija:Revista Colombiana de Tecnologías de Avanzada
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Online dostop:https://ojs.unipamplona.edu.co/index.php/rcta/es/article/view/3279/7689
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