Abstract
The measurement and interpretation of ground motion in seismograms is the primar source for our knowledge of the earth’s interior. As in other scientific areas, seismology has seen great improvements of its experimental facilities in the last decades. State-of-the-art observatories monitor earthquakes magnitudes below they are recognized by humans. Additionally, these observatories record explosions in quarries up to 1000 km apart and nuclear explosions all over the world. Over a year, these events sum up to some 10.000 data sets that must be found and processed in TeraBytes of raw data which are contaminated by local noise bursts of car traffic, sonic bangs and other sources. This task of routine preselection and processing is about to exceed the possibilities of human data analysis; any further progess will depend on automated methods. However, these methods must yield human-like performance not to degrade the achieved sensitivity and reliability.
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© 1992 Springer-Verlag Berlin Heidelberg
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Joswig, M. (1992). Automated Detection and Interpretation of Earthquake Seismograms by Adaptive Pattern Recognition. In: Krönig, D., Lang, M. (eds) Physik und Informatik — Informatik und Physik. Informatik-Fachberichte, vol 306. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77382-2_25
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DOI: https://doi.org/10.1007/978-3-642-77382-2_25
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