Qiang Lan

A Magnetic Anomaly Detection Method Based on Multi-Feature Classification-Fusion Neural Network in Colored Noise Background

Magnetic anomaly detection (MAD) is a core technology for the detection of ferromagnetic targets, yet traditional methods such as the Orthogonal basis function (OBF) detector suffer from severe performance degradation in low signal-to-noise ratio (SNR) and Gaussian colored noise environments. To address this issue, thi...