Matches in SemOpenAlex for { <https://semopenalex.org/work/W110044867> ?p ?o ?g. }
- W110044867 abstract "Spectral imaging has been extensively applied in many fields, including agriculture, environmental monitoring, biomedical diagnostics, etc. Thanks to the advances in sensor technology, spectral imaging systems nowadays provide finer and finer spectral resolution needed to characterize the spectral properties of materials. The high spectral resolution, however, raises an issue as the difference in spectral information between two adjacent wavelength bands is typically very small. As a result, much of the data in a scene seems to be redundant. However, critical information is embedded that often can be used to identify materials. This thesis aims at facilitating the analysis in spectral imaging by making use of pattern recognition techniques, on the one hand, to improve visualization, and on the other hand, to directly solve classification problems." @default.
- W110044867 created "2016-06-24" @default.
- W110044867 creator A5059345631 @default.
- W110044867 date "2013-10-10" @default.
- W110044867 modified "2023-09-23" @default.
- W110044867 title "Learning from weakly representative data and applications in spectral image analysis" @default.
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- W110044867 doi "https://doi.org/10.4233/uuid:28328015-1288-4f03-9fb8-1baa84b5c9e4" @default.
- W110044867 hasPublicationYear "2013" @default.
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