ISSN:
1420-9136
Keywords:
Seismology
;
seismic networks
;
artificial intelligence
;
expert systems
;
automatic interpretation
;
seismic event detection
;
data compression
Source:
Springer Online Journal Archives 1860-2000
Topics:
Geosciences
,
Physics
Notes:
Abstract The focus-of-attention techniques implemented in SNA2, a knowledge-based system for seismogram interpretation, are presented. They consist of data compression of the input digital records, scanning of the compressed traces to detect candidate seismograms and extraction of seismogram features. A criterion is given to rate the clarity of seismograms; the clarity defines the order in which the system will consider them to build up the interpretation. The proposed techniques are simple and fast; they allow quick rejection of noise and focussing the attention of the system on the portions of traces containing relevant information.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF00877009
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