Novel model based EMI processing framework

Charles Ethan Hayes; James H. McClellan; Waymond R. Scott Jr.

doi:10.1117/12.2262884

3 May 2017 Novel model based EMI processing framework

Charles Ethan Hayes, James H. McClellan, Waymond R. Scott Jr.

Proceedings Volume 10182, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXII; 1018218 (2017) https://doi.org/10.1117/12.2262884
Event: SPIE Defense + Security, 2017, Anaheim, CA, United States

Abstract

Wideband electromagnetic induction (WEMI) sensors can be used to detect, classify, and locate metallic targets buried underground. By examining the WEMI model from a new perspective, a low-rank equivalence for the WEMI data is obtained. The low-rank physical WEMI model directly leads to a new “filterless” processing framework that differs radically from traditional approaches to WEMI processing. The new framework enables target signature recovery independent of location estimation. Processing of field data with the new filterless WEMI framework is presented to show classification results based on the low-rank target signature.

Conference Presentation

Citation Download Citation

Charles Ethan Hayes, James H. McClellan, and Waymond R. Scott Jr. "Novel model based EMI processing framework", Proc. SPIE 10182, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXII, 1018218 (3 May 2017); https://doi.org/10.1117/12.2262884

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