Pyramid linking as a satellite image compression

30 December 2002

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

p. 1871-1873
https://doi.org/10.1109/igarss.1993.322393

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

JOINING PROCESSES
SATELLITES
IMAGE CODING
PIXEL
COVARIANCE MATRIX
TRANSFORM CODING
IMAGE ANALYSIS
REMOTE SENSING
IMAGE STORAGE
DECODING

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