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- W2015432637 abstract "Compressive Sensing (CS) is a recently developed technique, which can reconstruct the sparse signal with an overwhelming probability, even though the signal is sampled at highly sub-Nyquist rate. Based on the observation that the electromagnetic scattering structure (ESS) of a metal landmine is composed of two scattering centers, whose geometrical parameters are tightly related to its physical dimensions, a new physics-based landmine discrimination approach is proposed in this paper. Firstly, the approach uses the Multi-Measurement Iterative Pixel Discrimination method to reconstruct the landmine's ESS in noisy environments. Secondly, the geometrical parameters of the landmine's ESS are extracted from the sparse image. Thirdly, landmine discrimination is conducted according to the measured geometrical features and apriori knowledge. Finally, the fleld experimental results demonstrate the efiectiveness of the proposed approach." @default.
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- W2015432637 date "2013-01-01" @default.
- W2015432637 modified "2023-09-24" @default.
- W2015432637 title "A PHYSICS-BASED LANDMINE DISCRIMINATION APPROACH WITH COMPRESSIVE SENSING" @default.
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- W2015432637 doi "https://doi.org/10.2528/pier12082704" @default.
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