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An automatic nonlinear correlation approach for processing of hyperspectral images / R.N. Ingram in International Journal of Remote Sensing IJRS, vol 25 n° 22 (November 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 22 (November 2004) . - pp 4981 - 4998 Titre : An automatic nonlinear correlation approach for processing of hyperspectral images Type de document : Article/Communication Auteurs : R.N. Ingram, Auteur ; A.S. Lewis, Auteur ; R.L. Tutwiler, Auteur Année de publication : 2004 Article en page(s) : pp 4981 - 4998 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] corrélation automatique de points homologues [Termes IGN] équation non linéaire [Termes IGN] image AVIRIS [Termes IGN] image hyperspectrale [Termes IGN] méthode robuste [Termes IGN] traitement parallèle Résumé : (Auteur) Hyperspectral imaging technology demands sophisticated processing techniques that offer precise characterizations of complex spectral signatures. A nonlinear correlator structure is implemented for interference mitigation and object recognition. A key asset is the correlator's applicability to both the spatial (two-dimensional) and spectral (one-dimensional) domains, thus ideal for hyperspectral processing. The process consists of a standard convolution summed with a nonlinear adaptive term. The premise is the same in each case but the mathematical implementation is different. By performing the correlation calculations in the frequency domain, the processing algorithm is efficient, robust, and well suited for implementation on a parallel processing computational architecture. The nonlinear correlator depends on two parameters and an algorithm to determine these parameters based only on the input image (two-dimensional) or spectral signature (one-dimensional) is presented. Based on the results with the selected spatial and spectral templates, a target is identified and the spatial coordinates as well as the spectral signature are input to the final fusion stage, which analyses both spectral and spatial signatures for a correct target identification. Several examples are given and insights to template (mask) selection are provided. Numéro de notice : A2004-489 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160410001680455 En ligne : https://doi.org/10.1080/01431160410001680455 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27007 [article]

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