Potential of an Embedded Hyperspectral Compressive Imaging System for Remote Sensing Applications - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2023

Potential of an Embedded Hyperspectral Compressive Imaging System for Remote Sensing Applications

Résumé

The utilization of hyperspectral imaging in remote sensing has seen an increasing trend, as it enables to capture a greater amount of information. In this context, emerging snapshot sensors based on compressed sensing have been employed for various remote sensing applications. This work presents a prospective study by proposing a method to evaluate the performances we can expect when reconstructing data from a compressed sensing imager, the Double-Disperser Coded Aperture Snapshot Spectral Imager on an embedded system, i.e. on either a Graphics Processing Unit or a Field-Programmable Gate Arrays. This is original in the literature since most compressive sensing works focus on reconstruction quality and overlook the requirements for real-time, namely computational cost and data bandwidth. Moreover, works that use an embedded system are even more scarse. The study introduces methods to enhance these restrictions and assesses the resulting improvements. The study's findings support the use of Disperser Coded Aperture Snapshot Spectral Imager for remote sensing applications, potentially enabling a smaller sensor size.
Fichier principal
Vignette du fichier
IGARSS_2023__Copy_.pdf (263.35 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04281798 , version 1 (02-02-2024)
hal-04281798 , version 2 (24-04-2024)

Identifiants

Citer

Olivier Lim, Stéphane Mancini, Mauro Dalla Mura. Potential of an Embedded Hyperspectral Compressive Imaging System for Remote Sensing Applications. IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Jul 2023, Pasadena, United States. pp.4238-4241, ⟨10.1109/IGARSS52108.2023.10282751⟩. ⟨hal-04281798v2⟩
13 Consultations
10 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More