Deep learning-based classification of anti-personnel mines and sub-gram metal content in mineralized soil (DL-MMD)
Shahab Faiz Minhas,
Maqsood Hussain Shah,
Talal Khaliq
Abstract:De-mining operations are of critical importance for humanitarian efforts and safety in conflict-affected regions. In this paper, we address the challenge of enhancing the accuracy and efficiency of mine detection systems. We present an innovative Deep Learning architecture tailored for pulse induction-based Metallic Mine Detectors (MMD), so called DL-MMD. Our methodology leverages deep neural networks to distinguish amongst nine distinct materials with an exceptional validation accuracy of 93.5%. This high lev… Show more
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