Title :
Fusion of image block adjustments for the generation of a ground control network
Author :
Dolloff, John ; Iiyama, Michelle
Author_Institution :
BAE Syst., San Diego
Abstract :
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.
Keywords :
image fusion; image representation; airborne sensors; ground control network generation; ground point geocoordinates; high-fidelity representation; image block adjustment fusion; image support data; multiground point error covariance; space-borne sensors; Accuracy; Control systems; Data mining; Fusion power generation; Ground support; Image sensors; Intelligent networks; Intelligent systems; National security; Optimal control; Fusion; Metric Information Network; error covariance; ground control; image block; linear minimum mean square estimator;
Conference_Titel :
Information Fusion, 2007 10th International Conference on
Conference_Location :
Quebec, Que.
Print_ISBN :
978-0-662-45804-3
Electronic_ISBN :
978-0-662-45804-3
DOI :
10.1109/ICIF.2007.4408027
