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On automatic absorption detection for imaging spectroscopy: a comparative study
journal contribution
posted on 2007-11-01, 00:00 authored by Zhouyu Fu, Antonio Robles-KellyAntonio Robles-Kelly, Terry CaelliTerry Caelli, Robby T TanIn this paper, we aim at presenting a survey on automatic absorption recovery methods for imaging spectroscopy. We commence by viewing the algorithms in the literature from a technical perspective and presenting an overview of the derivative analysis, fingerprint, and maximum modulus wavelet transform techniques. In addition to these methods, we also present a novel absorption recovery approach based upon unimodal regression and continuum removal. With this technical review of the methods under study, we perform a complexity analysis and examine the implementation issues pertaining to each of the alternatives. We show how detected absorption bands can be used for purposes of material identification. We conclude this paper by providing a performance study and providing identification results on hyperspectral imagery. To this end, we make use of a number of distance measures to evaluate the quality of the recovered absorptions, as compared to continuum-removed spectra.
History
Journal
IEEE transactions on geoscience and remote sensingVolume
45Issue
11Pagination
3827 - 3844Publisher
Institute of Electrical and Electronics EngineersLocation
Piscataway, N.J.Publisher DOI
ISSN
0196-2892Language
engPublication classification
C1.1 Refereed article in a scholarly journalCopyright notice
2007, IEEEUsage metrics
Categories
Keywords
Absorption featuresfingerprinthyperspectral image processingmaximum modulus wavelet transform (MMWT)unimodal segmentationScience & TechnologyPhysical SciencesTechnologyGeochemistry & GeophysicsEngineering, Electrical & ElectronicRemote SensingImaging Science & Photographic TechnologyEngineeringLIQUID WATERREFLECTANCEGeophysics
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