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Proceedings Paper

Evaluating performance of automatic techniques for subpixel registration of remotely sensed imagery
Author(s): Ilya Zavorin; Harold S Stone; Jacqueline Le Moigne
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Paper Abstract

We describe two approaches of systematic performance assessment of a specific image registration algorithm. One approach involves generating radiometrically different synthetic images by convolving one of them with a point-spread function, while the other consists of registration of three or more images to obtain multiple estimates of registration parameters. We present experimental results that indicate that different-radiometry synthetic data is more difficult to register and so it provides better testing than same-radiometry data used in our previous work. They also show that the multiple-estimate methodology, that we call triangulation, may be used not only to measure self-consistency of a given registration algorithm, but also to obtain estimates of ground truth information for images for which, if available at all, the ground truth is known only approximately.

Paper Details

Date Published: 28 May 2003
PDF: 11 pages
Proc. SPIE 5014, Image Processing: Algorithms and Systems II, (28 May 2003); doi: 10.1117/12.477752
Show Author Affiliations
Ilya Zavorin, NASA Goddard Space Flight Ctr. (United States)
Harold S Stone, NASA Goddard Space Flight Ctr. (United States)
Jacqueline Le Moigne, NASA Goddard Space Flight Ctr. (United States)


Published in SPIE Proceedings Vol. 5014:
Image Processing: Algorithms and Systems II
Edward R. Dougherty; Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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