Robust estimation of seismic coda shape

Robust estimation of seismic coda shape

Robust estimation of shape parameters

We investigate the use of Robust Estimation in an application requiring the accurate location of the centres of circular objects in an image. A common approach used throughout computer vision for extracting shape information from a data set is to fit a feature model using the Least Squares method. The well known sensitivity of this method to outliers is traditionally accommodated by outlier rej...

Phase statistics of seismic coda waves.

We report the analysis of the statistics of the phase fluctuations in the coda of earthquakes recorded during a temporary experiment deployed at Pinyon Flats Observatory, California. The observed distributions of the spatial derivatives of the phase in the seismic coda exhibit universal power-law decays whose exponents agree accurately with circular Gaussian statistics. The correlation function...

An Adaptive Potential for Robust Shape Estimation

This paper describes an algorithm for shape estimation in cluttered scenes. A new image potential is defined based on strokes detected in the image. The motivation is simple. Feature detectors (e.g., edge points detectors) produce many outliers which hamper the performance of boundary extraction algorithms. To overcome this difficulty we organize edges in strokes and assign a confidence degree ...

Constraining relative source locations with the seismic coda

The relative location of seismic sources is of importance for the location of aftershocks on a fault, for the positioning of sources in repeat seismic surveys, and for monitoring induced seismicity. In this paper I show theoretically how the seismic coda can be used to infer a measure of the relative source location of two identical seismic sources from the correlation of the waveforms recorded...