A texture feature extraction scheme based on M-band wavelet packet frames is investigated. The features so extracted are used for segmentation of satellite images which usually have complex and overlapping boundaries. The underlying principle is based on the fact that different image regions exhibit different textures. Since most significant information of a texture often lies in the intermediate frequency bands, the present work employs an overcomplete wavelet decomposition scheme called discrete M-band wavelet packet frame (DM-bWPF), which yields improved segmentation accuracies. Wavelet packets represent a generalization of the method of multiresolution decomposition and comprise all possible combinations of subband tree decomposition. We propose a computationally efficient search procedure to find the optimal basis based on some maximum criterion of textural measures derived from the statistical parameters of each of the subbands, to locate dominant information in each subbands (frequency channels) and decide further decomposition.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Wavelet-based texture segmentation of remotely sensed images


    Beteiligte:
    Acharyya, M. (Autor:in) / Kundu, M.K. (Autor:in)


    Erscheinungsdatum :

    01.01.2001


    Format / Umfang :

    1219523 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Wavelet-Based Texture Segmentation of Remotely Sensed Images

    Acharyya, M. / Kundu, M. / IEEE | British Library Conference Proceedings | 2001


    Digital processing of remotely sensed images

    Moik, Johannes G. | TIBKAT | 1980


    Multispectral Data Compression of Remotely-Sensed Images

    Jaggi, S. / AIAA | British Library Conference Proceedings | 1993


    Shape Recognition Schemes In Remotely Sensed Images

    Yamamoto, H. / Kohzo, K. | British Library Conference Proceedings | 1996


    Finding Water Depths from Synthetic Remotely Sensed Images

    Martin, M. / Luna, M. / Valero, F. et al. | British Library Conference Proceedings | 1999