Naslov
Application of image moment analysis on the microseismic noise spectra

Autori
Šariri, Kristina ; Sović, Ivica

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
European Seismological Commission 33rd General Assembly - Book of Abstracts / Alexey Zavyalov - Moskva, 2012, 180-180

Skup
GA ESC 2012

Mjesto i datum
Moskva, Ruska Federacija, 19.08.2012. - 24.08.2012

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
microseismic noise; image moments analysis

Sažetak
Image moments analysis was applied in order to check the similarity of the microseismic noise spectra in days preceding and following an earthquake. Image moments are numerical descriptors invariant to translation, rotation, scale change and some other types of image distortion and their analysis is one of the most often used methods in image processing and pattern recognition. There are many types of moments with different descriptive capability, noise sensitivity and computational complexity. In this work Zernike moments were used because of their relatively simple and fast computing as well as robustness to noise. Spectra measured in certain time intervals at the three seismological stations ten days before and after the earthquake were taken into account. The first five spectra in the sequence were taken as the referent ones with which all the others were compared to. We wanted to avoid influence of foreshocks, so only relatively weak events close to the stations were considered. In recent catalogs of earthquakes felt in the Dinarides, we found only four events which satisfied these criteria. Data set obtained was not big enough for proper statistic analysis and final conclusion, but preliminary results single out five episodes when dissimilarity of spectra was increased for all referent days. Four of them happened immediately before the earthquakes considered occurred and one coincided with the front passage.

Izvorni jezik
Engleski

Znanstvena područja
Fizika, Geologija

POVEZANOST RADA