Detecting and classifying small and deep targets using improved EMI hardware and data processing approach

F. Shubitidze; B. E. Barrowes; J. B. Sigman; Yinlin Wang; Irma Shamatava; K. O'Neill

doi:10.1117/12.2050893

9 June 2014 Detecting and classifying small and deep targets using improved EMI hardware and data processing approach

F. Shubitidze, B. E. Barrowes, J. B. Sigman, Yinlin Wang, Irma Shamatava, K. O'Neill

Proceedings Volume 9072, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIX; 90720I (2014) https://doi.org/10.1117/12.2050893
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

Abstract

The appearance of next-generation EMI sensors has been accompanied by the development of advanced EMI models and new interpretation and inversion schemes that take advantage of the richness and diversity of the data provided by these instruments. The technologies have been successfully tested in various scenarios, including ESTCP live-UXO classification studies, and have demonstrated superb classification performances. The studies have shown that the system’s ability to detect and classify small targets (i.e., calibers ranging from 20 to 60 mm) and deep targets (burial depth more than 11 times the target’s diameter) is still a challenging problem when an existing system is used. To overcome this problem, first the standard approach is analyzed, then targets detections are studied for different transmitter coil combinations and transmitter current magnitudes. The results are validated experimentally. The studies are done for a 37mm projectile placed at 42cm and 86 cm under the 2×2 TEMTADS instrument. The target detection and classification performances are illustrated for 6, 11 and 14 Ampere Tx currents using the joint diagonalization and ortho normalized volume magnetic source techniques.

Citation Download Citation

F. Shubitidze, B. E. Barrowes, J. B. Sigman, Yinlin Wang, Irma Shamatava, and K. O'Neill "Detecting and classifying small and deep targets using improved EMI hardware and data processing approach", Proc. SPIE 9072, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIX, 90720I (9 June 2014); https://doi.org/10.1117/12.2050893

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