Extrapolated Georeferencing of High-Resolution Satellite Imagery Based on the Strip Constraint
Ground control points (GCPs) are necessary in order to achieve precise georeferencing of high-resolution satellite (HRS) imagery. However, measuring GCPs is costly, laborious, and time consuming. In some remote areas, we cannot even obtain well-defined GCPs. 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 HRS 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 (ZY-3) nadir datasets show that the direct georeferencing accuracy of the ZY-3 nadir images reaches only 9 to 12 pixels. With four GCPs 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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Document Type: Research Article
Publication date: July 1, 2017
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- The official journal of the American Society for Photogrammetry and Remote Sensing - the Imaging and Geospatial Information Society (ASPRS). This highly respected publication covers all facets of photogrammetry and remote sensing methods and technologies.
Founded in 1934, the American Society for Photogrammetry and Remote Sensing (ASPRS) is a scientific association serving over 7,000 professional members around the world. Our mission is to advance knowledge and improve understanding of mapping sciences to promote the responsible applications of photogrammetry, remote sensing, geographic information systems (GIS), and supporting technologies.
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