Evaluating performance of automatic techniques for subpixel registration of remotely sensed imagery

Ilya Zavorin; Harold S Stone; Jacqueline Le Moigne

doi:10.1117/12.477752

28 May 2003 Evaluating performance of automatic techniques for subpixel registration of remotely sensed imagery

Ilya Zavorin, Harold S Stone, Jacqueline Le Moigne

Proceedings Volume 5014, Image Processing: Algorithms and Systems II; (2003) https://doi.org/10.1117/12.477752
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

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.

Citation Download Citation

Ilya Zavorin, Harold S Stone, and Jacqueline Le Moigne "Evaluating performance of automatic techniques for subpixel registration of remotely sensed imagery", Proc. SPIE 5014, Image Processing: Algorithms and Systems II, (28 May 2003); https://doi.org/10.1117/12.477752

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