Abstract
Ground control points (<small>GCPs</small>) are necessary in order to achieve precise georeferencing of high-resolution satellite (<small>HRS</small>) imagery. However, measuring <small>GCPs</small> is costly, laborious, and time consuming. In some remote areas, we cannot even obtain well-defined <small>GCPs</small>. In this study, a strip constraint model is established. Based on the bias-compensated rational function model and the strip constraint model, a feasible extrapolated georeferencing approach for <small>HRS</small> imagery is presented. The presented approach remains effective even when the intermediate images in the strip are unavailable. Experimental results of the two ZiYuan-3 (<small>ZY-3</small>) nadir datasets show that the direct georeferencing accuracy of the <small>ZY-3</small> nadir images reaches only 9 to 12 pixels. With four <small>GCPs</small> in the first image, the georeferencing accuracy of the other images in the strip is improved to better than 2 pixels through extrapolated georeferencing.
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