Fernando Arias #IPAC10019321

Fernando Arias #IPAC10019321

Signal Processing, Image Processing, Hyperspectral Imaging, Compressive Sensing

Sede:: Panamá
Unidad / Facultad:: FAC. DE ING. ELÉCTRICA
Grado Académico:: Doctor (a)
Área de Investigación: Robótica, Automatización e Inteligencia Artificial
Áreas de Interes: Sensado Remoto, Inteligencia Artificial para Procesamiento de Señales Multidimensionales, Sensado Compresivo, Desarrollo Sostenible
SNI:: Investigador Nacional 1 2023 - 2025
Email:: fernando.arias@utp.ac.pa

Publicaciones en Google Scholar

Publicación	Citas	Año
Supervised sparse-representation classification on hyperspectral images using the city-block distance to improve performance	6	2017
Improving execution time for supervised sparse representation classification of hyperspectral images using the Moore–Penrose pseudoinverse	3	2019
Compressive sensing in reflectance confocal microscopy of skin images: a preliminary comparative study	3	2016
Comparative Analysis of Sparse Signal Reconstruction Algorithms for Compressed Sensing	2	2014
RCMDD: A denoising architecture for improved recovery of reflectance confocal microscopy images of skin from compressive samples	1	2020
Single-Shot Multispectral Image Acquisition for Low-Altitude Remote Sensing using Light Diffraction Techniques	1	2019
Classification performance of a block-compressive sensing algorithm for hyperspectral data processing	1	2016
Hyperspectral imaging for rice cultivation: Applications, methods and challenges	0	2021
A Framework For An Artificial Neural Network Enabled Single Pixel Hyperspectral Imager	0	2019
Análisis y Estimación de Precipitación para Modelado de Caudal del Río Juan Díaz en el Distrito de Panamá Utilizando Redes Neuronales	0	2018
A Comparative Study on the Parametrization of a Block-based Compressive Sensing Algorithm for Hyperspectral Imaging Applications	0	2016
Computational Framework for Cyclic Code Formulation Using Polynomial Algebra	0	2015
Classification Performance of a Hyperspectral Data Processing Algorithm Using a Block-Compressive Sensing Approach	0	2015
Supervised sparse-representation classification on hyperspectral images using the city-block distance to improve performance	6	2017
Improving execution time for supervised sparse representation classification of hyperspectral images using the Moore–Penrose pseudoinverse	3	2019

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