Hyperspectral imaging and convolutional neural networks for augmented documentation of ancient Egyptian artefacts

Hyperspectral imaging and convolutional neural networks for augmented documentation of ancient Egyptian artefacts

Abstract The study aims at investigating the use of reflectance Hyperspectral Imaging (HSI) in the Visible (Vis) and Near Infrared (NIR) range in combination with Deep Convolutional Neural Networks (CNN) to address the tasks related to ancient Egyptian hieroglyphs recognition. Recently, well-establi...

Full description

Bibliographic Details
Main Authors: Costanza Cucci, Tommaso Guidi, Marcello Picollo, Lorenzo Stefani, Lorenzo Python, Fabrizio Argenti, Andrea Barucci
Format: Article
Language:English
Published: SpringerOpen 2024-03-01
Series:Heritage Science
Subjects:
Vis-NIR reflectance hyperspectral imaging
Convolutional neural networks
Ancient Egyptian hieroglyphs
Segmentation
Text recognition
Online Access:https://doi.org/10.1186/s40494-024-01182-9

Similar Items

Similar Items