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THE EFFECT OF DATA REDUCTION ON IMAGE INTERPRETATION 
by 
N Mc EVOY and M H B THOMAS 
Logica Ltd, 64 Newman Street, London 
Abstract 
With improvement in spatial resolution of sensors, the problems 
of handling very large quantities of data are becoming 
increasingly acute. A partial solution to this problem is to 
compress the data. However, the process of compression and 
reconstruction generates errors in the pixel intensities and this 
will have an effect on user interpretation algorithms. The 
particular compression algorithm we have studied is the Rice 
Machine 2 with particular reference to a multispectral scanner 
obtaining imagery over the sea. The effect of data compression 
on an atmospheric correction/chloroohyll concentration algorithm 
is considered. 
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