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Listar por palabra clave "Hyperspectral images"

Mostrando ítems 1-5 de 5

Comparison of latent variable-based and artificial intelligence methods for impurity detection in PET recycling from NIR hyperspectral images

Galdón-Navarro, Borja; Prats-Montalbán, José Manuel; Cubero-García, Sergio; Blasco Ivars, Jose; Ferrer, Alberto (John Wiley & Sons, 2018)

[EN] In polyethylene terephthalate's (PET)'s recycling processes, separation from polyvinyl chloride (PVC) is of prior relevance due to its toxicity, which degrades the final quality of recycled PET. Moreover, the potential ...
Experimental Study of Hierarchical Clustering for Unmixing of Hyperspectral Images

Prades Nebot, José; Salazar Afanador, Addisson; Safont, Gonzalo; Vergara Domínguez, Luís (IEEE, 2021-11-04)

[EN] Estimation of the number of materials that are present in a hyperspectral image is a necessary step in many hyperspectral image processing algorithms, including classification and unmixing. Previously, we presented ...
MIA and NIR Chemical Imaging for pharmaceutical product characterization

Prats-Montalbán, José Manuel; Jerez-Rozo, JI; Romanach, RJ; Ferrer Riquelme, Alberto José (Elsevier, 2012-08)

[EN] This paper presents a three step methodology based on the use of chemical oriented models (MCR and CLS) for extracting out the chemical distribution maps (CDMs) from hyperspectral images, afterwards performing ...
Multivariate image analysis: a review with applications

Prats-Montalbán, José Manuel; De Juan, A.; Ferrer Riquelme, Alberto José (Elsevier, 2011-05)

[EN] Nowadays, image analysis is becoming more important because of its ability to perform fast and non-invasive low-cost analysis on products and processes. Image analysis is a wide denomination that encloses classical ...
Noise estimation for hyperspectral subspace identification on FPGAs

León, Germán; González, Carlos; Mayo Gual, Rafael; Mozos, Daniel; Quintana-Ortí, Enrique S. (Springer-Verlag, 2019-03)

[EN] We present a reliable and efficient FPGA implementation of a procedure for the computation of the noise estimation matrix, a key stage for subspace identification of hyperspectral images. Our hardware realization is ...