Satellite Image Registration for Attitude Estimation with a Constrained Polynomial Model

Régis Perrier (1) , Élise Arnaud (2) , Peter Sturm (1) , Mathias Ortner (3)

1 PERCEPTION - Interpretation and Modelling of Images and Videos
2 STEEP - Sustainability transition, environment, economy and local policy
3 ASTRIUM

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 cap- tures 1-D image and uses straight motion of the satellite to build a 2-D image. Yet, attitude variations of the satellite dur- ing 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 registra- tion equation. The performances of our algorithm are shown on two satellite datasets.

Mots clés: satellite; image registration; pushbroom camera; piecewise polynomial model

Domaines: Vision par ordinateur et reconnaissance de formes [cs.CV]; Traitement des images [eess.IV]; Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Régis Perrier, Élise Arnaud, Peter Sturm, Mathias Ortner. Satellite Image Registration for Attitude Estimation with a Constrained Polynomial Model. ICIP 2010 - 17 IEEE International Conference on Image Processing, Sep 2010, Hong Kong, China. pp.925-928, ⟨10.1109/ICIP.2010.5650997⟩. ⟨inria-00514896⟩