ResNet Classifier Using Shearlet-Based Features for Detecting Change in Satellite Images

Emna Brahim, Sonia Bouzidi, Sonia Bouzidi, Walid Barhoumi, Walid Barhoumi

2023

Abstract

In this paper, we present an effective method to extract the change in two optical remote-sensing images. The proposed method is mainly composed of the following steps. First, the two input Normalized Difference Vegetation Index (NDVI) images are smoothed using the Shearlet transform. Then, we used ResNet152 architecture in order to extract the final change detection image. We validated the performance of the proposed method on three challenging data illustrating the areas of Brazil, Virginia, and California. The experiments performed on 38416 patches showed that the suggested method has outperformed many relevant state-of-theart works with an accuracy of 99.50%.

Paper Citation

in Harvard Style

Brahim E., Bouzidi S. and Barhoumi W. (2023). ResNet Classifier Using Shearlet-Based Features for Detecting Change in Satellite Images. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP; ISBN 978-989-758-634-7, SciTePress, pages 427-434. DOI: 10.5220/0011781200003417

in Bibtex Style

@conference{visapp23,
author={Emna Brahim and Sonia Bouzidi and Walid Barhoumi},
title={ResNet Classifier Using Shearlet-Based Features for Detecting Change in Satellite Images},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP},
year={2023},
pages={427-434},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011781200003417},
isbn={978-989-758-634-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP
TI - ResNet Classifier Using Shearlet-Based Features for Detecting Change in Satellite Images
SN - 978-989-758-634-7
AU - Brahim E.
AU - Bouzidi S.
AU - Barhoumi W.
PY - 2023
SP - 427
EP - 434
DO - 10.5220/0011781200003417
PB - SciTePress