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

Author

Dolloff, John ; Iiyama, Michelle

Author_Institution

BAE Syst., San Diego

fYear

2007

fDate

9-12 July 2007

Firstpage

1

Lastpage

8

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICIF.2007.4408027

Filename

4408027