This paper aims at a decision fusion approach for combining three spectral unmixing methods to cluster hyperspectral data. Unlike standard image clustering techniques, analyzing hyperspectral data on a pure pixel basis may not be a true assumption. Meanwhile, multiple classifier systems often show better performance than each of the constituent classifiers. This is due to the fact that each classifier makes errors on different regions of the input space. With these facts in mind, this paper distills these two approaches into a single approach and exploits the advantages of both spectral unmixing algorithms and decision fusion methods. In this paper, three unmixing methods namely, Fully Constrained Least Squares (FCLS), Nonnegatively Constrained Least Squares (NCLS) and Sum-to-one Constrained Least Squares (SCLS) are employed as the ensemble classifiers and their results are combined at two different fusion levels: the abstract level and the measurement level. Experimental results on a real-world hyperspectral data proved that the proposed approach shows better clustering results compared to those of K-Means and Fuzzy c-Means in terms of the Adjusted Random Index (ARI) measure.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A decision fusion approach for clustering of hyperspectral data using spectral unmixing methods


    Beteiligte:


    Erscheinungsdatum :

    2012-03-01


    Format / Umfang :

    986492 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A novel hyperspectral image clustering method based on spectral unmixing

    Gholizadeh, Hamed / Zoej, Mohammad Javad Valadan / Mojaradi, Barat | IEEE | 2012


    Spectral-Spatial Joint Sparsity Unmixing of Hyperspectral Data using Overcomplete Dictionaries

    Bieniarz, Jakub / Aguilera, Esteban / Zhu, Xiao Xiang et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2014

    Freier Zugriff

    Joint Blind Deconvolution and Spectral Unmixing of Hyperspectral Images

    Zhang, Q. | British Library Conference Proceedings | 2014


    Neural Network Algorithms for Nonlinear Spectral Unmixing Applied on Hyperspectral Data

    Licciardi, G.A. / European Space Agency | British Library Conference Proceedings | 2010


    Experimental Study of Hierarchical Clustering for Unmixing of Hyperspectral Images

    Prades, Jose / Salazar, Addisson / Safont, Gonzalo et al. | IEEE | 2021