Robust Phase-Correlation based Registration of Airborne Videos using Motion Estimation

Details

Serval ID
serval:BIB_787098ACBA33
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Title
Robust Phase-Correlation based Registration of Airborne Videos using Motion Estimation
Title of the conference
EOGC 2011, Earth Observation of Global Changes
Author(s)
de Morsier Frank, Borgeaud Maurice, Küchler C., Vogel A., Gass V., Thiran J.P.
Address
Munich, Germany, April 13-15, 2011
ISBN
1863-2246
Publication state
Published
Issued date
2011
Volume
7418
Series
Lecture Notes in Geoinformation and Cartography
Pages
37-48
Language
english
Abstract
This paper presents a robust algorithm for the
registration of airborne video sequences with reference
images from a different source (airborne or satellite),
based on phase-correlation. Phase-correlations using
Fourier-Melin Invariant (FMI) descriptors allow to
retrieve the rigid transformation parameters in a fast
and non-iterative way. The robustness to multi-sources
images is improved by an enhanced image representation
based on the gradient norm and the extrapolation of
registration parameters between frames by motion
estimation. A phase-correlation score, indicator of the
registration quality, is introduced to regulate between
motion estimation only and frame-toreference image
registration. Our Robust Phase-Correlation registration
algorithm using Motion Estimation (RPCME) is compared
with state-of-the-art Mutual Information (MI) algorithm
on two different airborne videos. RPCME algorithm
registered most of the frames accurately, retrieving much
better orientation than MI. Our algorithm shows
robustness and good accuracy to multisource images with
the advantage of being a direct (non-iterative) method.
Keywords
LTS5, Image registration, Multi-sources, Multi-sensors, , Phase-correlation, Fourier-Melin Invariant descriptor, , Motion estimation
Create date
07/01/2014 8:11
Last modification date
20/08/2019 14:35
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