1. An automated process for geometric data fitting, the process comprising: (a) obtaining a raster image having a spatial resolution and comprising a plurality of image-objects representing real-world objects; (b) obtaining a mask dataset comprising a plurality of mask-objects, each mask-object having a center, and each mask-object spatially corresponding to one of the image-objects in the raster image at the same spatial resolution; (c) defining (i) a distance threshold and (ii) a pseudo-rotation angle applicable to a shift function; (d) spatially superimposing the mask dataset and the raster image in such a manner that the locations of the plurality of mask-objects approximately corresponds to the locations of the plurality of corresponding image-objects; (e) locally superimposing a plurality of mask-objects by incrementally moving the plurality of mask-objects over the spatially corresponding image-objects using a shift function including the defined (i) distance threshold and (ii) pseudo-rotation angle until an optimal homogeneity is attained for a plurality of mask-objects; and (f) generating an optimally fitted dataset comprising a plurality of mask-objects which are individually geometrically fitted.