Data Fusion for Vehicle-borne Mine Detection
نویسنده
چکیده
This paper introduces a statisticallywell-founded evaluation of the fusion of dual-band infrared and tri-band visual imagery for detecting buried land mines using real-data. A unified Bayesian framework is presented for representing and inferring from data captured by multiple sensors of scenes that may contain buried land mines.
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