Skip to Main content Skip to Navigation
Conference papers

Satellite Image Registration for Attitude Estimation with a Constrained Polynomial Model

Régis Perrier 1 Elise Arnaud 2 Peter Sturm 1 Mathias Ortner 3
1 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
2 STEEP - Sustainability transition, environment, economy and local policy
LJK - Laboratoire Jean Kuntzmann, Inria Grenoble - Rhône-Alpes
Abstract : 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.
Complete list of metadata

Cited literature [8 references]  Display  Hide  Download
Contributor : Régis Perrier Connect in order to contact the contributor
Submitted on : Friday, September 3, 2010 - 4:06:04 PM
Last modification on : Tuesday, October 19, 2021 - 11:13:10 PM
Long-term archiving on: : Tuesday, October 23, 2012 - 3:31:15 PM


Files produced by the author(s)



Régis Perrier, Elise 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⟩



Les métriques sont temporairement indisponibles