Improvements to 3D-Tarp Coding for the Compression of Hyperspectral Imagery

Author

Zhang, Jing ; Fowler, James E. ; Du, Qian ; Liu, Guizhong

Author_Institution

Sch. of Electron. & Inf. Eng., Xi´´an Jiaotong Univ., Xi´´an

Volume

2

fYear

2008

fDate

7-11 July 2008

Abstract

In this paper, we propose several improvements to the 3D-tarp coder for the lossy compression of hyperspectral imagery. Specific ameliorations include use of principal component analysis instead of a wavelet transform for spectral decorrelation, use of the quincunx wavelet transform instead of the traditional dyadic decomposition in the spatial direction, and spectral partitioning with skipping of insignificant zeros. Experimental results reveal that the enhanced coder achieves improved rate-distortion performance.

Keywords

data compression; encoding; geophysical signal processing; geophysical techniques; principal component analysis; remote sensing; wavelet transforms; 3D tarp coding; hyperspectral imagery; lossy compression; principal component analysis; quincunx wavelet transform; rate distortion performance; spectral decorrelation; spectral partitioning; Arithmetic; Decorrelation; Discrete wavelet transforms; Filtering; Filters; Hyperspectral imaging; Image coding; Principal component analysis; Wavelet analysis; Wavelet transforms; 3D tarp; PCA; QWT; hyperspectral compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International

Conference_Location

Boston, MA

Print_ISBN

978-1-4244-2807-6

Electronic_ISBN

978-1-4244-2808-3

Type

conf

DOI

10.1109/IGARSS.2008.4779161

Filename

4779161