Multispectral and hyperspectral imaging technologies in conservation: current research and potential applications

By Christian Fischer, I. Kakoulli. 2006

364 citations recorded by the source corpus.

Subfields: Archeology, Artificial Intelligence, Media Technology

View Paper: https://www.semanticscholar.org/paper/8ce444f80f6618d74280237ad21ae6cd6c2ad474

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Archeology

1. Adeel Yousaf
2. Khurram Khurshid
3. Hamid Saeed Khan
4. Asad Abbas
5. Muhammad Jaleed Khan

In Artificial Intelligence

1. Alberto Signoroni
2. Annalisa Baronio
3. Mattia Savardi
4. Sergio Benini

In Media Technology

1. Alberto Signoroni
2. Annalisa Baronio
3. Mattia Savardi
4. Sergio Benini

Citations in the corpus

• Hyperspectral Imaging in Environmental Monitoring: A Review of Recent Developments and Technological Advances in Compact Field Deployable Systems (2019, background): “As such, hyperspectral imaging has been well established in the remote sensing community, with large-scale uptake across many different domains [4,10].”
• Deep Learning Meets Hyperspectral Image Analysis: A Multidisciplinary Review (2019, background): “Since then HSI has found applications in an increasing number of fields for a variety of specific tasks, and nowadays it is also largely used, other than in RS [2], in biomedicine [3], food quality [4], agriculture [5,6] and cultural heritage [7], among others [8].”
• Discrimination between abiotic and biotic drought stress in tomatoes using hyperspectral imaging (2018, methodology): “Apart from geology-oriented applications, this technology has since inception been successfully used in many other areas such as microscopy [8], material classification [9], medical diagnostics [10], artwork and historical artefact analysis and conservation [11], and especially, food quality and saf”
• Modern Trends in Hyperspectral Image Analysis: A Review (2018, background): “during last two decades, HSI has been applied to numerous applications including agricultural and water resources control [4], [5], military defense, art conservation and archeology [6], [7], medical diagnosis [8], [9], analyses of crime scene details [10], [11], document imaging [12], forensic medi”
• Identification of pigments by multispectral imaging; a flowchart method (2014, neutral): “It would be valuable to compare this flowchart approach with other spectral imaging technologies [36,37], methods which are currently investigated and which use estimation techniques for visible spectrum imaging [38], and could become more powerful with the implementation of liquidcrystal tunable fi”
• Hyperspectral Imaging Applications in Agriculture and Agro-Food Product Quality and Safety Control: A Review (2013, background): “HSI is very useful in the art domain, not only for artwork conservation (21) but also for identifying pigments in paintings and palimpsests (22).”
• Use of imaging spectroscopy, fiber optic reflectance spectroscopy, and X-ray fluorescence to map and identify pigments in illuminated manuscripts (2014, background): “Spectral imaging for art conservation is an active field (Delaney et al., 2005; Fischer & Kakoulli, 2006; Klein et al., 2008; Zhao et al., 2008, Delaney et al., 2009a, b, 2010; Padoan et al., 2010) and an important distinction still exists between radiometrically un-calibrated spectral imaging and…”