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ESSAI D'UNE APPLICATION DE LA TRANSFORMATION DE KARHUNEN‐LOÈVE AU TRAITEMENT SISMIQUE *
Author(s) -
HEMON CH.,
MACE D.
Publication year - 1978
Publication title -
geophysical prospecting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.735
H-Index - 79
eISSN - 1365-2478
pISSN - 0016-8025
DOI - 10.1111/j.1365-2478.1978.tb01620.x
Subject(s) - geology , multispectral image , remote sensing , transformation (genetics) , karhunen–loève theorem , data set , data processing , seismology , computer science , algorithm , artificial intelligence , biochemistry , chemistry , gene , operating system
A bstract Multispectral recordings used for remote sensing are not without analogy with seismic records from CDP field set‐ups. These seismic data may be regarded as “photographs’ of deep regions of the earth taken from various angles. The Karhunen‐Loève (K.L.) transformation is commonly used for multispectral data processing, where it helps emphasize some features of remote sensing information. The same method may be applied to seismic data processing. Signal‐to‐noise ratio is improved on synthetic or field examples when K.L. transformation is applied instead of conventional CDP stacking. Residual statics seem to be diminished by a significant factor.