Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze
  1. Pubblicazioni

The future of hyperspectral imaging

Articolo
Data di Pubblicazione:
2019
Abstract:
The Special Issue on hyperspectral imaging (HSI), entitled "The Future of Hyperspectral Imaging", has published 12 papers. Nine papers are related to specific current research and three more are review contributions: In both cases, the request is to propose those methods or instruments so as to show the future trends of HSI. Some contributions also update specific methodological or mathematical tools. In particular, the review papers address deep learning methods for HSI analysis, while HSI data compression is reviewed by using liquid crystals spectral multiplexing as well as DMD-based Raman spectroscopy. Specific topics explored by using data obtained by HSI include alert on the sprouting of potato tubers, the investigation on the stability of painting samples, the prediction of healing diabetic foot ulcers, and age determination of blood-stained fingerprints. Papers showing advances on more general topics include video approach for HSI dynamic scenes, localization of plant diseases, new methods for the lossless compression of HSI data, the fusing of multiple multiband images, and mixed modes of laser HSI imaging for sorting and quality controls.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
hyperspectral imaging; remote sensing; hyperspectral microscopy; statistical methods for HSI; hyperspectral data mining and compression
Elenco autori:
Selci, Stefano
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/365417
Pubblicato in:
JOURNAL OF IMAGING
Journal
  • Dati Generali

Dati Generali

URL

http://www.scopus.com/record/display.url?eid=2-s2.0-85075485969&origin=inward
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)