Compression for hyperspectral images using three dimensional wavelet transform

Author

Lim, Sunghyun ; Sohn, Kwanghoon ; Lee, Chulhee

Author_Institution

Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea

Volume

1

fYear

2001

fDate

2001

Firstpage

109

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

Keywords

data compression; geophysical signal processing; geophysical techniques; image classification; image coding; multidimensional signal processing; remote sensing; terrain mapping; wavelet transforms; AVIRIS; IR; algorithm; data compression; geophysical measurement technique; hyperspectral image; hyperspectral remote sensing; image classification; image compression; infrared; land surface; optical imaging; performance; reconstructed image; set partitioning in hierarchical trees; terrain mapping; three dimensional wavelet transform; visible; Discrete cosine transforms; Discrete wavelet transforms; Hyperspectral imaging; Hyperspectral sensors; Image coding; Image reconstruction; Karhunen-Loeve transforms; Quantization; Wavelet domain; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International

Conference_Location

Sydney, NSW

Print_ISBN

0-7803-7031-7

Type

conf

DOI

10.1109/IGARSS.2001.976072

Filename

976072