Title :
Pyramid linking as a satellite image compression
Author :
Iikura, Y. ; Yasuoka, Yoshifumi
Author_Institution :
Dept. of Inf. Eng., Iwate Univ., Morioka, Japan
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;
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
DOI :
10.1109/IGARSS.1993.322393
