Towards developing an automatic non-linear least-squares inversion algorithm for the 1D interpretation of airborne electromagnetic data with specific application to a time-domain system

Least-squares inversion of airborne TDEM data provides a robust automatic interpretation tool for large datasets. Used in conjunction with popular imaging methods, full 1D non-linear inversion can resolve parameters that might be overlooked otherwise. Following the primary field removal of airborne TDEM data, time domain data can be transformed to the frequency domain through a discrete Fourier transform (DFT). Once in the frequency domain full non-linear inversion will minimize the misfit between the data and the physical model response in a least-squares sense.