Non-linear Distortion Recognition in UAVs’ Images using Deep Learning

Leandro H. F. P. Silva, Jocival D. Dias Jr, Jean F. B. Santos, João F. Mari, Maurício C. Escarpinati, André R. Backes

2021

Abstract

Unmanned Aerial Vehicles (UAV) have increasingly been used as tools in many tasks present in Precision Agriculture (PA). Due to the particular characteristics of the flight and the UAV equipment, several challenges need to be addressed, such as the presence of non-linear deformations in the captured images. These deformations impair the image registration process so they must be identified to be properly corrected. In this paper, we propose a Convolutional Neural Network (CNN) architecture to classify whether or not a given image has non-linear deformation. We compared our approach with 4 traditional CNNs and the results show that our model achieves has an accuracy similar to the compared CNNs, but with an extremely lower computational cost, which could enable its use in flight time, in a system embedded in the UAV.

Paper Citation

in Harvard Style

Silva L., Dias Jr J., Santos J., Mari J., Escarpinati M. and Backes A. (2021). Non-linear Distortion Recognition in UAVs’ Images using Deep Learning. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP; ISBN 978-989-758-488-6, SciTePress, pages 447-454. DOI: 10.5220/0010309504470454

in Bibtex Style

@conference{visapp21,
author={Leandro H. F. P. Silva and Jocival D. Dias Jr and Jean F. B. Santos and João F. Mari and Maurício C. Escarpinati and André R. Backes},
title={Non-linear Distortion Recognition in UAVs’ Images using Deep Learning},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP},
year={2021},
pages={447-454},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010309504470454},
isbn={978-989-758-488-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP
TI - Non-linear Distortion Recognition in UAVs’ Images using Deep Learning
SN - 978-989-758-488-6
AU - Silva L.
AU - Dias Jr J.
AU - Santos J.
AU - Mari J.
AU - Escarpinati M.
AU - Backes A.
PY - 2021
SP - 447
EP - 454
DO - 10.5220/0010309504470454
PB - SciTePress