Interactive transmission of spectrally wavelet-transformed hyperspectral images

José Lino Monteagudo-Pereira, Joan Bartrina-Rapesta, Francesc Aulí-Llinàs, Joan Serra-Sagristà*, Alaitz Zabala, Xavier Pons

*Corresponding author for this work

Research output: Other contribution

1 Citation (Scopus)


The size of images used in remote sensing scenarios has constantly increased in the last years. Remote sensing images are not only stored, but also processed and transmitted, raising the need for more resources and bandwidth. On another side, hyperspectral remote sensing images have a large number of components with a significant inter-component redundancy, which is usually taken into account by many image coding systems to improve the coding performance. The main approaches used to decorrelate the spectral dimension are the Karhunen Loêve-Transform and the Discrete Wavelet Transform (DWT). This paper is focused on DWT decorrelators because they have a lower computational complexity, and because they provide interesting features such as component and resolution scalability and progressive transmission. Influence of the spectral transform is investigated, considering the DWT kernel applied and the number of decomposition levels. In addition, a JPIP compliant application, CADI, is introduced. It may be useful to test new protocols, techniques, or coding systems, without requiring significant changes on the application. CADI can be run in most computer platforms and devices thanks to the use of JAVA and the configuration of a light-version, suitable for devices with constrained resources.

Original languageAmerican English
TypeConference Paper
Publication statusPublished - 2008

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


  • Hyperspectral data coding
  • Interactive hyperspectral data transmission
  • JPEG2000
  • JPIP
  • Quality scalability


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