ИСТИНА

The paper deals with a problem of optimal estimation of the spherical wavelet transform coefficients of gravity disturbance derived from the post-processed airborne gravimetry measurements. These coefficients are then used for local refinement of the global gravity field model provided in terms of spherical wavelets. The problem posed above is solved by optimal estimation methods which allow for available statistic information about the measurement errors. The measurement errors from different survey profiles are supposed to be uncorrelated. Developed algorithm runs through each survey profile and estimates wavelet-coefficients correlated with the profile data using the least-squares estimation method in the information form. Estimates obtained from different survey profiles are combined recursively. Due to bad conditioning of the problem a regularization technique is applied. Local refinement of global gravity field models is based on the guaranteed approach to estimation of spherical wavelet coefficients of both the global model and the airborne data.