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dc.contributor.editorHuang, Jung Y.
dc.date.accessioned2023-09-05T16:00:28Z
dc.date.available2023-09-05T16:00:28Z
dc.date.issued2023
dc.identifierONIX_20230905_9781839690945_161
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/113360
dc.description.abstractPreprocessing Hyperspectral Imaging data and objectively retrieving meaningful information from high-dimensional data cubes present a number of challenging issues. This book offers a glimpse of the status of machine- and deep-learning methodological development, seeking to meet the challenge of new hyperspectral imaging applications.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYT Image processingen_US
dc.subject.otherdeep learning
dc.subject.otherbiomarker
dc.subject.otherthin films
dc.subject.otherspectroscopy
dc.subject.otherfood quality
dc.subject.otherdiffraction
dc.titleHyperspectral Imaging
dc.title.alternativeA Perspective on Recent Advances and Applications
dc.typebook
oapen.identifier.doi10.5772/intechopen.102315
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9781839690945
oapen.relation.isbn9781839690938
oapen.relation.isbn9781839691133
oapen.imprintIntechOpen
oapen.pages130


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