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