Pyramid linking as a satellite image compression

Author

Iikura, Y. ; Yasuoka, Yoshifumi

Author_Institution

Dept. of Inf. Eng., Iwate Univ., Morioka, Japan

fYear

1993

fDate

18-21 Aug 1993

Firstpage

1871

Abstract

Proposes the use of pyramid linking as an image compression method that makes much use of correlation among neighbourhood pixels as well as among multispectral bands of satellite images. The method is compared to JPEG method in terms of the compression rate and a statistical accuracy criterion. The criterion is newly defined as the Mahalanobis distance based on the covariance matrix of noise components estimated from the second spatial derivatives of the concerned image. Analysis of a LANDSAT TM image shows that the performance of the proposed method is better than the JPEG method

Keywords

data compression; geophysical techniques; geophysics computing; image coding; remote sensing; JPEG; LANDSAT TM image; Mahalanobis distance; correlation; data compression; geophysical measurement technique; geophysics computing; land surface imaging; method; multispectral; pyramid linking; pyramidlinking; remote sensing; satellite image compression; statistical accuracy criterion; Covariance matrix; Decoding; Image analysis; Image coding; Image storage; Joining processes; Pixel; Remote sensing; Satellites; Transform coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International

Conference_Location

Tokyo

Print_ISBN

0-7803-1240-6

Type

conf

DOI

10.1109/IGARSS.1993.322393

Filename

322393