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Imaging spectroscopy for scene analysis: challenges and opportunities
journal contribution
posted on 2013-12-01, 00:00 authored by Antonio Robles-KellyAntonio Robles-Kelly, Bill Simpson-YoungIn this study, the authors explore the opportunities, application areas and challenges involving the use of imaging spectroscopy as a means for scene understanding. This is important, since scene analysis in the scope of imaging spectroscopy involves the ability to robustly encode material properties, object composition and concentrations of primordial components in the scene. The combination of spatial and compositional information opens-up a vast number of application possibilities. For instance, spectroscopic scene analysis can enable advanced capabilities for surveillance by permitting objects to be tracked based on material properties. In computational photography, images may be enhanced taking into account each specific material type in the scene. For food security, health and precision agriculture it can be the basis for the development of diagnostic and surveying tools which can detect pests before symptoms are apparent to the naked eye. This combination of a broad domain of application with the use of key technologies makes the use of imaging spectroscopy a worthwhile opportunity for researchers in the areas of computer vision and pattern recognition.
History
Journal
IET computer visionVolume
7Issue
6Pagination
467 - 477Publisher
The Institution of Engineering and TechnologyLocation
Stevenage, Eng.Publisher DOI
ISSN
1751-9632Language
engPublication classification
C1.1 Refereed article in a scholarly journalCopyright notice
2013, The Institution of Engineering and TechnologyUsage metrics
Keywords
SpectroscopyImage colour analysisNatural scenesScience & TechnologyTechnologyComputer Science, Artificial IntelligenceEngineering, Electrical & ElectronicComputer ScienceEngineeringimaging spectroscopyobject compositionprimordial component concentrationsspatial informationcompositional informationspectroscopic scene analysisobject trackingmaterial propertiescomputational photographyfood securityprecision agriculturecomputer visionpattern recognitionplant healthSHAPEArtificial Intelligence and Image Processing
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