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• W2355328047 abstract "Based on the sparse characteristics the Compressed Sensing(CS) technique can achieve the sparse image and scattering structure of the target.In this paper the CS technique is applied in the Vehicle-mounted Stepped-frequency Forward-looking Ground-penetrating Virtual Aperture Radar(SFGPVAR) system as well.The electromagnetic model of the landmine can approximate to be a symmetrical cylinder with isotropic characteristic.Based on analyzing the results of simulations and experiments the metal landmine has the structure of two isolate point scatters.This satisfies the sparseness required by the CS in the imaging space,and as a result of that the structure of landmine can be extracted by the CS algorithm.At the end of this paper the feasibility of the CS algorithm on the scattering structures extraction of the landmine and the stability of the landmine feature with two point scatters are proved by the experiment data from the SFGPVAR system.This novel approach not only extends a new way for the feature extraction of landmine,but also discovers a new approach of detection and classification for the targets with simple scattering structures." @default.
• W2355328047 created "2016-06-24" @default.
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• W2355328047 date "2012-01-01" @default.
• W2355328047 modified "2023-09-24" @default.
• W2355328047 title "Extraction of landmine scattering structure based on compressed sensing" @default.
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