Automatic infrasonic signal detection using the hough transform (2008).

Content Provider	CiteSeerX
Author	Brown, David J.
Abstract	[1] The Hough transform is a mathematical device that allows the retrieval of parametric curve information from binary-pixelated data in the presence of noise. This slope-intercept transform maps each point in the image space S into a straight line in parameter space P and has the very useful property that all points in S that lie along the same straight-line map to the same number of straight lines in P with a common intersection point. Thus with a suitable counting procedure, the problem of extended straight-line detection in noisy pixelated data becomes one of local peak finding, a problem that may be substantially more tractable. In this study, an algorithm that utilizes the Hough transform for the detection of signals in International Monitoring System style infrasonic array data by seeking periods of constant backazimuth that are associated with coherent acoustic signals is described. A system of synthetic signal implants is used to assess the performance of the detection algorithm by generating a set of pseudo Receiver Operator Characteristic curves. A feature of the detection algorithm is the ability to accommodate full three-dimensional array geometry.
File Format	PDF
Publisher Date	2008-01-01
Access Restriction	Open
Subject Keyword	Hough Transform Automatic Infrasonic Signal Detection Straight Line Detection Algorithm Parameter Space Mathematical Device Common Intersection Point Slope-intercept Transform Map Parametric Curve Information Image Space Local Peak Finding Full Three-dimensional Array Geometry Useful Property Synthetic Signal Implant Constant Backazimuth Suitable Counting Procedure Pseudo Receiver Operator Characteristic Curve Binary-pixelated Data Coherent Acoustic Signal Straight-line Map Extended Straight-line Detection
Content Type	Text