Data aggregation approach to multisensor radar imaging

By integrating two developed optimization methods for optimal data aggregation modifications can also be proposed that involve a priori calibration information both on the systems´ resolution and relative noise levels in the acquired images. In view of this, some previously developed fusion schemes, in which the weights π_m were proposed to be selected proportionally to the width of the PSF and signal-to-noise ratio (i.e. inversely proportional to the relative noise intensities) could be referred to as suboptimal versions of the developed regularization-based aggregation approach