Feature fusion via dual-resolution compressive measurement matrix analysis for spectral image classification
JM Ramirez, JIM Torre, H Arguello - Signal processing: image …, 2021 - Elsevier
In the compressive spectral imaging (CSI) framework, different architectures have been
proposed to recover high-resolution spectral images from compressive measurements.
Since CSI architectures compactly capture the relevant information of the spectral image,
various methods that extract classification features from compressive samples have been
recently proposed. However, these techniques require a feature extraction procedure that
reorders measurements using the information embedded in the coded aperture patterns. In …
proposed to recover high-resolution spectral images from compressive measurements.
Since CSI architectures compactly capture the relevant information of the spectral image,
various methods that extract classification features from compressive samples have been
recently proposed. However, these techniques require a feature extraction procedure that
reorders measurements using the information embedded in the coded aperture patterns. In …
Feature Fusion Via Dual-Resolution Compressive Measurement Matrix Analysis For Spectral Image Classi cation
J Marcos Ramirez, JI Martínez Torre, H Arguello - 2020 - burjcdigital.urjc.es
In the compressive spectral imaging (CSI) framework, di erent architectures have been
proposed to recover high-resolution spectral images from compressive measurements.
Since CSI architectures compactly capture the relevant information of the spectral image,
various methods that extract classi cation features from compressive samples have been
recently proposed. However, these techniques require a feature extraction procedure that
reorders measurements using the information embedded in the coded aperture patterns. In …
proposed to recover high-resolution spectral images from compressive measurements.
Since CSI architectures compactly capture the relevant information of the spectral image,
various methods that extract classi cation features from compressive samples have been
recently proposed. However, these techniques require a feature extraction procedure that
reorders measurements using the information embedded in the coded aperture patterns. In …