Fast Implementation of 3-D SPIHT using Tree Information Matrix

Heeyoung Kim, Jihwan Choe, Chul Hee Lee

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

In this paper, we apply a fast 3D-SPIHT to compress hyperspectral images. The method uses a tree information matrix to determine whether a tree is significant or insignificant during encoding process. Experiments with AVIRIS data show that it is possible to save about 70% of processing time.

Original languageEnglish
Pages3586-3588
Number of pages3
Publication statusPublished - 2003 Nov 24
Event2003 IGARSS: Learning From Earth's Shapes and Colours - Toulouse, France
Duration: 2003 Jul 212003 Jul 25

Other

Other2003 IGARSS: Learning From Earth's Shapes and Colours
CountryFrance
CityToulouse
Period03/7/2103/7/25

Fingerprint

AVIRIS
matrix
Processing
Experiments
experiment
method

All Science Journal Classification (ASJC) codes

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

Cite this

Kim, H., Choe, J., & Lee, C. H. (2003). Fast Implementation of 3-D SPIHT using Tree Information Matrix. 3586-3588. Paper presented at 2003 IGARSS: Learning From Earth's Shapes and Colours, Toulouse, France.
Kim, Heeyoung ; Choe, Jihwan ; Lee, Chul Hee. / Fast Implementation of 3-D SPIHT using Tree Information Matrix. Paper presented at 2003 IGARSS: Learning From Earth's Shapes and Colours, Toulouse, France.3 p.
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Kim, H, Choe, J & Lee, CH 2003, 'Fast Implementation of 3-D SPIHT using Tree Information Matrix' Paper presented at 2003 IGARSS: Learning From Earth's Shapes and Colours, Toulouse, France, 03/7/21 - 03/7/25, pp. 3586-3588.

Fast Implementation of 3-D SPIHT using Tree Information Matrix. / Kim, Heeyoung; Choe, Jihwan; Lee, Chul Hee.

2003. 3586-3588 Paper presented at 2003 IGARSS: Learning From Earth's Shapes and Colours, Toulouse, France.

Research output: Contribution to conferencePaper

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AB - In this paper, we apply a fast 3D-SPIHT to compress hyperspectral images. The method uses a tree information matrix to determine whether a tree is significant or insignificant during encoding process. Experiments with AVIRIS data show that it is possible to save about 70% of processing time.

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Kim H, Choe J, Lee CH. Fast Implementation of 3-D SPIHT using Tree Information Matrix. 2003. Paper presented at 2003 IGARSS: Learning From Earth's Shapes and Colours, Toulouse, France.