Fusion of image block adjustments for the generation of a ground control network

This paper presents a methodology and supporting fusion algorithm for efficient, sequential, and optimal generation of a ground control network from image block adjustments over an area of interest. Image blocks contain overlapping images (ground footprints) generated from airborne and space-borne sensors, and measurements of ground points in those images. Image block adjustments are ubiquitous in the image geopositioning community and solve for improved image support data (sensor position, attitude, etc.) and geocoordinates of the ground points. The generated ground control network includes the geolocation of the control (aka fiducial and landmark) points and corresponding multi-ground point error covariance or its high-fidelity representation. Experimental results based on simulated data are also presented.