Calhoun
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IMAGE QUALITY ASSESSMENT OF ACTIVE SONAR IMAGES THROUGH BAYESIAN DEEP LEARNING
Data quality is a problem for synthetic aperture sonar (SAS) images when using automatic target recognition (ATR) techniques. At present, no automated methods exist to determine image quality. We propose using Bayesian Neural Networks to identify and diagnose imaging artifacts present in active sona
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