Improved subsurface land mine recognition using high-boost fusion between passive Stokes vector imagery

Aed El-Saba

doi:10.1117/12.850536

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26 April 2010 Improved subsurface land mine recognition using high-boost fusion between passive Stokes vector imagery

Aed El-Saba

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Proceedings Volume 7672, Polarization: Measurement, Analysis, and Remote Sensing IX; 76720S (2010) https://doi.org/10.1117/12.850536
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

Detection and clearance of subsurface land mines has been one of the challenging humanitarian and military tasks. Passive polarization-based imagery has played important role achieving this task. This paper presents new fusion technique where polarization-based imagery is fused with traditional intensity imagery using high-boost approach. The main idea of the high-boost approach used in this paper is to give the polarization imagery obtained from the Stokes vector imagery more weight in forming the final fused image. It is shown that the proposed technique improves the recognition of surface land mines. This improvement is shown using correlation performance metrics derived from wavelet-filter joint-transform correlation algorithm used for pattern recognition.

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Aed El-Saba "Improved subsurface land mine recognition using high-boost fusion between passive Stokes vector imagery", Proc. SPIE 7672, Polarization: Measurement, Analysis, and Remote Sensing IX, 76720S (26 April 2010); https://doi.org/10.1117/12.850536

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