Spatial and spectral decorrelation of lossless data compression for LANDSAT-TM imagery

Author

TANG, Shouwen ; Wang, Jinfei ; Zhang, Kaizhong

Author_Institution

Dept. of Comput. Sci., Beijing Comput. Inst., China

Volume

1

fYear

1994

fDate

8-12 Aug 1994

Firstpage

332

Abstract

Presents a spatial and spectral decorrelation scheme for lossless data compression of remotely sensed imagery. The statistical properties of Landsat-TM data are investigated. Measurements of the statistical information indicate that some bands have strong spectral correlation which can be used for interband prediction or spectral decorrelation; whereas other bands may be most suitable for spatial decorrelation within single band. Experiments show that data compression has been improved using both spatial and spectral nature of the remotely sensed data

Keywords

data compression; geophysical signal processing; geophysical techniques; image coding; image colour analysis; infrared imaging; remote sensing; LANDSAT-TM imagery; Thematic Mapper; geophysical measurement technique; image coding; interband prediction; land surface; lossless data compression; multispectral remote sensing; optical imaging; spatial decorrelation; spectral decorrelation; visible IR infrared; Compression algorithms; Computer science; Data compression; Decorrelation; Entropy; Image coding; Least squares methods; Multispectral imaging; Remote sensing; Satellites;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International

Conference_Location

Pasadena, CA

Print_ISBN

0-7803-1497-2

Type

conf

DOI

10.1109/IGARSS.1994.399119

Filename

399119