Proposal of a computational method for asbestos detection in hyperspectral images based on the identification of prominent peaks in the spectral signature
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...
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| Autores principales: | , , |
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| Formato: | Artículo |
| Lenguaje: | inglés |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | https://dialnet.unirioja.es/servlet/oaiart?codigo=10146154 |
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