Registration of visible and near infrared unmanned aerial vehicle images based on Fourier-Mellin transform

Appariement par transformée de Fourier-Mellin d'images visibles et proche infrarouge acquises par drone

Rabatel, G. ; Labbe, S.

Type de document
Article de revue scientifique à comité de lecture
Langue
Anglais
Affiliation de l'auteur
IRSTEA MONTPELLIER UMR ITAP FRA ; IRSTEA MONTPELLIER UMR TETIS FRA
Année
2016
Résumé / Abstract
The combination of aerial images acquired in the visible and near infrared spectral ranges is particularly relevant for agricultural and environmental survey. In unmanned aerial vehicle (UAV) imagery, such a combination can be achieved using a set of several embedded cameras mounted close to each other, followed by an image registration step. However, due to the different nature of source images, usual registration techniques based on feature point matching are limited when dealing with blended vegetation and bare soil patterns. Here, another approach is proposed based on i mage spatial frequency analysis. This approach, which relies on the Fourier-Mellin transform, has been adapted to homographic registration and distortion issues. It has been successfully tested on various aerial image sets, and has proved to be particularly robust and accurate, providing a registration error below 0.3 pixels in most cases.
Source
Precision Agriculture, vol. 17, p. 564 - 587

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