Bae Systems Information and Electronic Systems Integration Inc.

Bae Systems Information Solutions Inc.

John Thomas Dolloff

A method for fusion of image block adjustments for the generation of a ground control network constituting a Metric Information Network (MIN). Utilizing the subject. fusion algorithm it is possible to duplicate the results of an extremely large simultaneous image block adjustment by sequentially performing smaller image block adjustments on small overlapping areas of interest and taking the results to update a metric information network. Note, intermediate results for less than all the imagery provide usable updates to the metric information network. The result of the infusion of sequential image block adjustments into the metric information network is that one can obtain the accuracy provided by an extremely large single image block adjustment, and do so in manageable chunks or segments involving conventional computer resources.

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

A replacement sensor model for optimally exploiting imaging data obtained by an image sensor. The replacement sensor model includes a ground-to-image function such as a polynomial for converting three-dimensional ground point data to two-dimensional image (pixel) data. Coefficients of the polynomial can be determined from a rigorous sensor model of the image sensor, which reflects physical characteristics of the particular image sensor. The polynomial can be adjusted by an adjustment vector. The adjustment vector can be determined from a pre-determined list of possible adjustment components having particular characteristics relating to the image sensor and reflecting errors in the physical characteristics of the image sensor as included in the rigorous sensor model. Finally, an error covariance associated with the adjustment vector can be determined from an error covariance associated with the rigorous sensor model. The adjusted polynomial and error covariance of the replacement sensor model permit optimal image exploitation, including error propagation and geopositioning.

Growing community of inventors

Escondido, CA, United States of America

John Thomas Dolloff