Integrated Mapping And Gravity Estimation (IMAGE)

Fathi Y. Dwaik

Abstract:	The Center for Mapping (CFM) at The Ohio State University is developing a fully digital, real-time Airborne Integrated Mapping System (AIMS) capable of large-scale mapping and satisfying many other positioning applications. In addition to an imaging sensor, AIMS incorporates state-of-the-art positioning sensors, GPS and INS, all installed on an aerial platform. The AIMS objective to generate quality spatial referenced data in real-time requires navigation parameters with accuracy of 4-5 cm in position and less than 10 arcseconds in orientation (Bossler and Schmidley 1997). The focus of this paper, however, is to discuss the exploitation of quality sensors on board to compile gravity information along the flight trajectory. As flights are usually performed for mapping purposes, the gravity details will be available with only a slight additional cost. In contrast to AIMS, IMAGE uses the photogrammetric solution to obtain the exterior orientation parameters to help bound the gyro drift and estimate the gravity field. This paper investigates the achievable photogrammetric orientation accuracy. Along a flight trajectory over Oakland, California, a set of images is simulated. Then the images are analyzed for their effect on vector gravimetry estimation.
Published in:	Proceedings of the 1998 National Technical Meeting of The Institute of Navigation January 21 - 23, 1998 Westin Long Beach Hotel Long Beach, CA
Pages:	799 - 805
Cite this article:	Dwaik, Fathi Y., "Integrated Mapping And Gravity Estimation (IMAGE)," Proceedings of the 1998 National Technical Meeting of The Institute of Navigation, Long Beach, CA, January 1998, pp. 799-805.
Full Paper:	ION Members/Non-Members: 1 Download Credit Sign In