Identification of marine magnetic anomalies based on the sliding window curve similarity method

Abstract Marine magnetic anomalies play an essential role in plate tectonics and geodynamics. The conventional method to identify marine is visually compare synthetic observed anomaly profiles, there usually no quantitative evaluation for the identification results. Therefore, we developed sliding window curve similarity (SWCS) objectively quantitatively evaluate model tests practical applications show that SWCS feasible effective identifying fast-spreading anomalies. of theoretical windows using combined polarity chrons can improve accuracy identification. Graphical