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100   $a20230628d2020      uy             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aProcessing and Analysis of Hyperspectral Data /$fJie Chen, Yingying Song, Hengchao Li
210  1$aLondon :$cIntechOpen,$d2020.
215   $a1 online resource (136 pages)
311   $a1-83880-462-5 
330   $aHyperspectral imagery has received considerable attention in the last decade as it provides rich spectral information and allows the analysis of objects that are unidentifiable by traditional imaging techniques. It has a wide range of applications, including remote sensing, industry sorting, food analysis, biomedical imaging, etc. However, in contrast to RGB images from which information can be intuitively extracted, hyperspectral data is only useful with proper processing and analysis. This book covers theoretical advances of hyperspectral image processing and applications of hyperspectral processing, including unmixing, classification, super-resolution, and quality estimation with classical and deep learning methods.
606   $aSpectrum analysis
615  0$aSpectrum analysis.
676   $a535.84
700   $aChen$b Jie$01299851
702   $aSong$b Yingying
702   $aLi$b Hengchao
801  0$bNjHacI
801  1$bNjHacl
906   $aBOOK
912   $a9910688461703321
996   $aProcessing and Analysis of Hyperspectral Data$93394347
997   $aUNINA