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Recent advances in the areas of phase history processing, interferometry, and radargrammetric adjustment have made possible extremely accurate data extraction from synthetic aperture radar (SAR) imagery data. The potential gain from interferometric exploitation is significant since accuracy of measurements can theoretically be determined to within a resolution element of wavelength dimension. Recent work by the authors has shown that the main barrier to accurate and efficient elevation extraction is the measurement jitter caused by terrain variations, which overlay differently in the two SAR images. A unique combination of advanced photogrammetric and signal processing techniques is described which makes possible more accurate extraction of metric position and elevation model data form multiple pass SAR. This paper addresses the accuracy achievable from repeat passes of the ERS-1 and SIR-C spaceborne platforms and is also applicable to airborne SAR platforms.© (1997) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

Recent advances in the areas of phase history processing, interferometry, and radargrammetric adjustment have made possible extremely accurate data extraction from Synthetic Aperture Radar (SAR) imagery data. The potential gain from interferometric exploitation is significant since accuracy of measurements can theoretically be determined to within a resolution element of wavelength dimension. A unique combination of advanced techniques is described which has made possible more accurate extraction of metric position and elevation model data from multiple pass SAR. The unique approach outlined can be implemented on conventional stereo extraction workstations with appropriate refinements. This paper addresses the accuracy achievable from repeat passes of the ERS-1 platform. Experimental results are provided.© (1996) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

For several useful tasks in photogrammetry and in model-based vision, this paper develops noniterative methods that require only the inversion of systems of linear equations. The methods are based on the theory of projective invariants. The following tasks are addressed: (a) Resection, or determination of parameters of acquisition geometry (requires six control points); (b) Intersection, or determination of the position of an object point from several images; and (c) Transfer, or model matching, which uses the image coordinates of a ground point in two images to predict the coordinates of that point in a third image in the presence of several other tie points in the three images.© (1991) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.