Title | ||
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Satellite image registration for attitude estimation with a constrained polynomial model |
Abstract | ||
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Satellite image registration has been investigated for several years. Nevertheless, little attention has been paid to the linear geometry of the satellite's imaging sensor, often consisting of several pushbroom cameras. Each pushbroom camera captures 1-D image and uses straight motion of the satellite to build a 2-D image. Yet, attitude variations of the satellite during the aquisition process can lead to significant distortions in the 2-D image. In this paper, we expose the problem and present a constrained image registration method to estimate the satellite's attitude variations, and thus correct the distorted images. We use a Lucas Kanade framework and a piecewise polynomial model under constraints to deduce the registration equation. The performances of our algorithm are shown on two satellite datasets. |
Year | DOI | Venue |
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2010 | 10.1109/ICIP.2010.5650997 | Image Processing |
Keywords | Field | DocType |
artificial satellites,attitude measurement,image motion analysis,image registration,image sensors,polynomials,remote sensing,aquisition process,attitude estimation,constrained polynomial model,image distortion,image motion analysis,imaging sensor,linear geometry,pushbroom cameras,satellite image registration,image registration,piecewise polynomial model,pushbroom camera,satellite | Computer vision,Satellite,Polynomial,Image sensor,Computer science,Artificial intelligence,Lucas–Kanade method,Pixel,Image registration,Piecewise,Polynomial and rational function modeling | Conference |
ISSN | ISBN | Citations |
1522-4880 E-ISBN : 978-1-4244-7993-1 | 978-1-4244-7993-1 | 1 |
PageRank | References | Authors |
0.37 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Regis Perrier | 1 | 1 | 0.37 |
Elise Arnaud | 2 | 126 | 10.05 |
Peter Sturm | 3 | 2696 | 206.38 |
Mathias Ortner | 4 | 78 | 10.81 |