Processing and Analysis of Hyperspectral Data / / Jie Chen, Yingying Song, Hengchao Li
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| Autore: |
Chen Jie
|
| Titolo: |
Processing and Analysis of Hyperspectral Data / / Jie Chen, Yingying Song, Hengchao Li
|
| Pubblicazione: | London : , : IntechOpen, , 2020 |
| Descrizione fisica: | 1 online resource (136 pages) |
| Disciplina: | 535.84 |
| Soggetto topico: | Spectrum analysis |
| Persona (resp. second.): | SongYingying |
| LiHengchao | |
| Sommario/riassunto: | Hyperspectral 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. |
| Titolo autorizzato: | Processing and Analysis of Hyperspectral Data |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910688461703321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |