Compression of hyperspectral images using significant pixel information of wavelet transforms

Sangwook Lee*, Joan Serra Sagrista, Chulhee Lee

*Autor corresponent d’aquest treball

    Producció científica: Capítol de llibreCapítolRecercaAvaluat per experts

    1 Citació (Scopus)

    Resum

    In this paper, we propose a compression algorithm for hyperspectral images based on the wavelet transform using adjacent information. A characteristic of the SPIHT algorithm is that it provides information on the locations of significant coefficients of transformed images. On the other hand, there exist high correlation between spectral band images of hyperspectral data. Thus, by using the location information of significant pixels, it is possible to efficiently compress adjacent band images by allocating all available bits to encode the magnitudes of significant pixels. However, some significant pixels would be inevitably missed, resulting in noticeable errors. In this paper, we propose to encode these missed significant pixels to improve coding efficiency. Experiments suggest that taking care of missed significant pixels provides improved performance.

    Idioma originalAnglès
    Títol de la publicació2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
    Pàgines3532-3535
    Nombre de pàgines4
    DOIs
    Estat de la publicacióPublicada - 2006

    Sèrie de publicacions

    NomInternational Geoscience and Remote Sensing Symposium (IGARSS)

    Fingerprint

    Navegar pels temes de recerca de 'Compression of hyperspectral images using significant pixel information of wavelet transforms'. Junts formen un fingerprint únic.

    Com citar-ho