Compression for hyperspectral images using three dimensional wavelet transform

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34 Citations (Scopus)

Abstract

In this paper, we apply the three dimensional wavelet transform to hyperspectral images. In particular, in order to compress hyperspectral data, we propose to use the three dimensional version of the set partitioning in hierarchical trees (SPIHT) algorithm, which has been successfully applied to 2 dimensional images and video signals. In order to evaluate the performance of the three dimensional SPIHT algorithm, we compute the SNR of compressed images and classification accuracies in the original images and the reconstructed images. Experiments with AVIRIS data show that high compression is possible with negligible information loss.

Original languageEnglish
Pages109-111
Number of pages3
Publication statusPublished - 2001 Dec 1
Event2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001) - Sydney, NSW, Australia
Duration: 2001 Jul 92001 Jul 13

Other

Other2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001)
CountryAustralia
CitySydney, NSW
Period01/7/901/7/13

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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  • Cite this

    Lim, S., Sohn, K., & Lee, C. (2001). Compression for hyperspectral images using three dimensional wavelet transform. 109-111. Paper presented at 2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001), Sydney, NSW, Australia.