Comparative Examination of Different Change Detection Methods for Remote Sensing Imagery

Jambukeshwar Pujari, Jambukeshwar Pujari, Javed Wasim, Aprna Tripathi

2025

Abstract

Land cover change analysis relies heavily on Change Detection (CD), which is the process of identifying semantic changes in satellite images taken at different dates. Several methods have been devised to identify changes in satellite photos. Simple to compute and apply, image differencing doesn’t necessitate data collected from the ground.This study employs performance for change detection to examine multiple strategies that have been created by different researchers. Detecting changes in high-resolution satellite pictures is crucial for a better understanding of land surfaces. Using existing methods, reliably detecting changes in satellite pictures is a tough undertaking. Datasets utilized in the trials were the OSCD dataset and the SECOND dataset. In comparison with other techniques, RSCDNet achieved higher accuracy, precision, recall, and F1-score.

Paper Citation

in Harvard Style

Pujari J., Wasim J. and Tripathi A. (2025). Comparative Examination of Different Change Detection Methods for Remote Sensing Imagery. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 344-350. DOI: 10.5220/0013592100004664

in Bibtex Style

@conference{incoft25,
author={Jambukeshwar Pujari and Javed Wasim and Aprna Tripathi},
title={Comparative Examination of Different Change Detection Methods for Remote Sensing Imagery},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT},
year={2025},
pages={344-350},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013592100004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT
TI - Comparative Examination of Different Change Detection Methods for Remote Sensing Imagery
SN - 978-989-758-763-4
AU - Pujari J.
AU - Wasim J.
AU - Tripathi A.
PY - 2025
SP - 344
EP - 350
DO - 10.5220/0013592100004664
PB - SciTePress