ИСТИНА

We address the gravity estimation from airborne data taking into account a priori information about spatial behavior of the gravity field in the survey area. We propose two algorithms for solving the following two problems. In scalar gravimetry: Mapping gravity at the flight height using the gravity disturbances estimated along the flight lines (via low-pass or Kalman filtering), taking into account spatial correlation of the gravity field in the survey area and statistical information on the along-line gravity estimate errors. In vector gravimetry: Simultaneous determination of three components of the gravity disturbance vector from airborne measurements at the flight path. Both approaches use spherical scaling functions for gravity modeling.