• DocumentCode
    1375596
  • Title

    Performance Evaluation of the H.264/AVC Video Coding Standard for Lossy Hyperspectral Image Compression

  • Author

    Santos, Lucana ; López, Sebastián ; Callicó, Gustavo M. ; López, José F. ; Sarmiento, Roberto

  • Author_Institution
    Inst. for Appl. Microelectron., Univ. of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
  • Volume
    5
  • Issue
    2
  • fYear
    2012
  • fDate
    4/1/2012 12:00:00 AM
  • Firstpage
    451
  • Lastpage
    461
  • Abstract
    In this paper, a performance evaluation of the state-of-the-art H.264/AVC video coding standard is carried out with the aim of determining its feasibility when applied to hyperspectral image compression. Results are obtained based on configuring diverse parameters in the encoder in order to achieve an optimal trade-off between compression ratio, accuracy of unmixing and computation time. In this sense, simulations are developed in order to measure the spectral angles and signal-to-noise ratio (SNR), achieving compression ratios up to 0.13 bits per pixel per band (bpppb) for real hyperspectral images. Moreover, in this work it is detected which blocks in the encoder contribute the most to performance improvements of the compression task for the particular case of this type of images, and which ones are not relevant at all and hence could be removed. This conclusion yields to reduce the future design complexities of potential low-power/real-time hyperspectral encoders based on H.264/AVC for remote sensing applications.
  • Keywords
    data compression; geophysical image processing; performance evaluation; remote sensing; video coding; bits per pixel per band; compression ratio; design complexities; lossy hyperspectral image compression; performance evaluation; real-time hyperspectral encoders; remote sensing applications; signal-to-noise ratio; spectral angles; state-of-the-art H.264/AVC video coding standard; Correlation; Hyperspectral imaging; Image coding; Quantization; Signal to noise ratio; Video coding; H.264/AVC; Lossy compression; hyperspectral images; unmixing;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1939-1404
  • Type

    jour

  • DOI
    10.1109/JSTARS.2011.2173906
  • Filename
    6080751