LAUSR

ABSTRACT In this paper, we present a new method based on the reciprocal of the analytic signal amplitude and its derivatives, to directly estimate the structural indices and location parameters of 2D magnetic data. However, the method is sensitive to noise because third-order derivatives are used. To weaken the noise effect, we use a smooth compensation filtering method, based on a modification of upward continuation, to suppress high-frequency noise. The method successfully estimates the magnetic source parameters when tested on noise-free and noise-corrupted synthetic magnetic data. Moreover, when applied to synthetic data produced by multiple sources, the proposed method has higher precision and clustering of the solutions is tighter than for standard Euler deconvolution of the total magnetic intensity anomaly or of the analytic signal magnitude. The method is also applied to the measured magnetic data over the Urad Middle Banner in northeast China.