Synthetic Aperture Radar (SAR) provides valuable information for the remote sensing community. Polarimetry and interferometry are most important applications. They require amplitude and phase information of complex SAR data. Here, we propose a flexible phase preserving algorithm (FLECS) to compress these complex SAR data. Flexibility allows adjustment of compression ratio to the application's requirements. Adaptability of the algorithm ensures a signal-to-distortion-noise ratio and a phase error, which is nearly independent from image contents. The algorithm uses wavelet transform for energy packing and linear quantization for lossy compression in transform domain. In case of separately performed phase compression vector quantization is applied.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Adaptive SAR Image Compression in Wavelet Domain


    Beteiligte:
    Benz, U.C. (Autor:in) / Fischer, J. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2000


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Deutsch




    Wavelet-Domain Texture Modeling for Image Compression

    Ryan, T. W. / Sanders, L. D. / Fisher, H. D. et al. | British Library Conference Proceedings | 1994


    Space adaptive wavelet packet image compression [2669-17]

    Smith, J. R. / Chang, S.-F. / SPIE | British Library Conference Proceedings | 1996


    Wavelet Image Compression

    Pearlman, William A. | TIBKAT | 2013



    Multiscale Adaptive Image Restoration in the Wavelet Domain

    Banham, M. R. / Katsaggelos, A. K. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994