Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloAutomatic Target Recognition Within Anomalous Regions of Interest in Hyperspectral Images
Anno di pubblicazione2018
FormatoCartaceo
Autore/iMatteoli S.; Diani M.; Corsini G.
Affiliazioni autoriNational Research Council (CNR) of Italy, Institute of Electronics, Computer and Telecommunication Engineering (IEIIT), Pisa, 56122, , Italy; Italian Naval Academy, Livorno, 57127, , Italy; Department of Information Engineering (DII), University of Pisa, Pisa, 56122, , Italy
Autori CNR e affiliazioni
  • STEFANIA MATTEOLI
Lingua/e
  • inglese
AbstractThis paper proposes an automatic target recognition (ATR) methodology for airborne hyperspectral imagery in which regions of interest (ROIs) containing anomalous objects are inspected for recognition of specific targets. ROI-by-ROI processing is carried out in a fully automated fashion and does not need operator intervention, thus being suitable for in-flight applications. The ROI-based ATR methodology is developed within a multiple hypotheses testing framework, and its key strengths are in the use of a bank of flexible and robust nonparametric detectors combined with an automated method for null hypothesis discrimination and an effective decision support system. Experimental results over multiple real hyperspectral images show the effectiveness of the proposed methodology for automatic recognition of several different targets embedded in various kinds of background.
Lingua abstractinglese
Altro abstract-
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Pagine da1056
Pagine a1069
Pagine totali-
RivistaIEEE journal of selected topics in applied earth observations and remote sensing (Print)
Attiva dal 2008
Editore: IEEE, - Piscataway, N.J.
Paese di pubblicazione: Stati Uniti d'America
Lingua: inglese
ISSN: 1939-1404
Titolo chiave: IEEE journal of selected topics in applied earth observations and remote sensing (Print)
Titolo proprio: IEEE journal of selected topics in applied earth observations and remote sensing. (Print)
Titolo abbreviato: IEEE j. sel. top. appl. earth obs. remote sens. (Print)
Titoli alternativi:
  • Institute of Electrical and Electronic Engineers journal of selected topics in applied earth observations and remote sensing (Print)
  • Journal of selected topics in applied earth observations and remote sensing (Print)
  • J-STARS (Print)
Numero volume della rivista11
Fascicolo della rivista4
DOI10.1109/JSTARS.2018.2810336
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • Scopus (Codice:2-s2.0-85044722039)
Parole chiavehyperspectral imaging, automatic target recognition, regions of interest, kernel density estimate, non-parametric approach
Link (URL, URI)http://www.scopus.com/record/display.url?eid=2-s2.0-85044722039&origin=inward
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Note/Altre informazioni-
Strutture CNR
  • IEIIT — Istituto di elettronica e di ingegneria dell'informazione e delle telecomunicazioni
Moduli CNR
    Progetti Europei-
    Allegati