Assessing the Adequability of FFT-based Methods on Registration of UAV-Multispectral Images

Jocival Dantas Dias Junior, André Ricardo Backes, Maurício Cunha Escarpinati, Leandro Henrique Furtado Pinto Silva, Breno Corrêa Silva Costa, Marcelo Henrique Freitas Avelar

2020

Abstract

Precision farming has greatly benefited from new technologies over the years. The use of multispectral and hyperspectral sensors coupled to Unmanned Aerial Vehicles (UAV) has enabled farms to monitor crops, improve the use of resources and reduce costs. Despite widely being used, multispectral images present a natural misalignment among the various spectra due to the use of different sensors, and the registration of these images is a complex process. In this paper, we address the problem of multispectral image registration and present a modification of the framework proposed by (Yasir et al., 2018). Our modification generalizes this framework, originally proposed to work with keypoints based methods, so that spectral domain methods (e.g. Phase Correlation) can be used in the registration process with great accuracy and smaller execution time.

Paper Citation

in Harvard Style

Dias Junior J., Backes A., Escarpinati M., Silva L., Costa B. and Avelar M. (2020). Assessing the Adequability of FFT-based Methods on Registration of UAV-Multispectral Images. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP; ISBN 978-989-758-402-2, SciTePress, pages 437-444. DOI: 10.5220/0009123704370444

in Bibtex Style

@conference{visapp20,
author={Jocival Dantas Dias Junior and André Ricardo Backes and Maurício Cunha Escarpinati and Leandro Henrique Furtado Pinto Silva and Breno Corrêa Silva Costa and Marcelo Henrique Freitas Avelar},
title={Assessing the Adequability of FFT-based Methods on Registration of UAV-Multispectral Images},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP},
year={2020},
pages={437-444},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009123704370444},
isbn={978-989-758-402-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP
TI - Assessing the Adequability of FFT-based Methods on Registration of UAV-Multispectral Images
SN - 978-989-758-402-2
AU - Dias Junior J.
AU - Backes A.
AU - Escarpinati M.
AU - Silva L.
AU - Costa B.
AU - Avelar M.
PY - 2020
SP - 437
EP - 444
DO - 10.5220/0009123704370444
PB - SciTePress