The hyperbola-flattening transform

Jay A. Marble; Andrew E. Yagle

doi:10.1117/12.543793

21 September 2004 The hyperbola-flattening transform

Jay A. Marble, Andrew E. Yagle

Author Affiliations +

Proceedings Volume 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX; (2004) https://doi.org/10.1117/12.543793
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

A characteristic of vehicle-based ground-penetrating radar is the hyperbolic signature generated by targets such as landmines. The hyperbola provides a significantly different shape from most false alarms. Here an approach is introduced that seeks to utilize all of the energy contained in this characteristic hyperbolic signature. We propose a Hyperbola Flattening Transform (HFT) that transforms hyperbolic signatures of interest into straight lines, which are in turn detected using the Radon transform. The algorithm is applied to both simulated and real data. Encouraging results are presented when applying the HFT to the problem of detecting low signal-to-noise ratio plastic mines.

Citation Download Citation

Jay A. Marble and Andrew E. Yagle "The hyperbola-flattening transform", Proc. SPIE 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX, (21 September 2004); https://doi.org/10.1117/12.543793

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