Non-Local Context-Aware Attention for Object Detection in Remote Sensing Images

Yassin Terraf, El Mercha, Mohammed Erradi

2024

Abstract

Object detection in remote sensing images has been widely studied due to the valuable insights it provides for different fields. Detecting objects in remote sensing images is a very challenging task due to the diverse range of sizes, orientations, and appearances of objects within the images. Many approaches have been developed to address these challenges, primarily focusing on capturing semantic information while missing out on contextual details that can bring more insights to the analysis. In this work, we propose a Non-Local Context-Aware Attention (NLCAA) approach for object detection in remote sensing images. NLCAA includes semantic and contextual attention modules to capture both semantic and contextual information. Extensive experiments were conducted on two publicly available datasets, namely NWPU VHR and DIOR, to evaluate the performance of the proposed approach. The experimental results demonstrate the effectiveness of the NLCAA approach against various state-of-the-art methods.

Paper Citation

in Harvard Style

Terraf Y., Mercha E. and Erradi M. (2024). Non-Local Context-Aware Attention for Object Detection in Remote Sensing Images. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP; ISBN 978-989-758-679-8, SciTePress, pages 130-138. DOI: 10.5220/0012363700003660

in Bibtex Style

@conference{visapp24,
author={Yassin Terraf and El Mercha and Mohammed Erradi},
title={Non-Local Context-Aware Attention for Object Detection in Remote Sensing Images},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP},
year={2024},
pages={130-138},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012363700003660},
isbn={978-989-758-679-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP
TI - Non-Local Context-Aware Attention for Object Detection in Remote Sensing Images
SN - 978-989-758-679-8
AU - Terraf Y.
AU - Mercha E.
AU - Erradi M.
PY - 2024
SP - 130
EP - 138
DO - 10.5220/0012363700003660
PB - SciTePress