Satellite Image Registration for Attitude Estimation with a Constrained Polynomial Model

Autor: Mathias Ortner, Regis Perrier, Peter Sturm, Elise Arnaud
Přispěvatelé: Interpretation and Modelling of Images and Videos (PERCEPTION), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jean Kuntzmann (LJK), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS), Sustainability transition, environment, economy and local policy (STEEP), ASTRIUM, EADS - European Aeronautic Defense and Space
Jazyk: angličtina
Rok vydání: 2010
Předmět:
pushbroom camera
Computer science
satellite
Image registration
02 engineering and technology
Image (mathematics)
Polynomial and rational function modeling
0203 mechanical engineering
Lucas–Kanade method
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
0202 electrical engineering
electronic engineering
information engineering

Computer vision
Image sensor
020301 aerospace & aeronautics
Pixel
business.industry
[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
020206 networking & telecommunications
image registration
Computer Science::Computer Vision and Pattern Recognition
[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
Piecewise
Artificial intelligence
piecewise polynomial model
business
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Zdroj: ICIP 2010-17 IEEE International Conference on Image Processing
ICIP 2010-17 IEEE International Conference on Image Processing, Sep 2010, Hong Kong, China. pp.925-928, ⟨10.1109/ICIP.2010.5650997⟩
ICIP
Popis: International audience; 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.
Databáze: OpenAIRE