A Flood Segmentation Model Enhanced by Residual Squeeze-and-Excitation (R-SE) Blocks

Emre Güçlü; İlhan Aydın; Erhan Akın

doi:10.21541/apjess.1715068

A Flood Segmentation Model Enhanced by Residual Squeeze-and-Excitation (R-SE) Blocks

Abstract

Timely flood detection and segmentation play an important role in disaster management and recovery processes by enabling effective interventions. In this study, a segmentation model with ResNet-50 infrastructure is proposed, which provides high accuracy. Our proposed model achieves high segmentation accuracy on the Flood dataset by reducing computational cost compared to standard convolutions and by using depth-separable convolutions. In order to make learning more flexible and reduce overfitting, our model uses the PReLU (Parametric ReLU) activation function, which allows learning from negative values. Squeeze-and-Excitation (SE) blocks, which strengthen feature learning by highlighting important information, are also integrated into the model. In addition, Feature Enhancement Blocks contribute to the production of more accurate and detailed segmentation maps. The effectiveness of the model is verified using the Flood dataset, where it is evaluated with various measurement metrics. The results show that the proposed model outperforms popular segmentation architectures such as FCN, SegNet and U-Net. In particular, the average IoU value obtained is 85.37%, demonstrating the high overall accuracy of the model. This work provides a valuable contribution to the field of flood detection and provides a solid foundation for future systems that aim to improve segmentation accuracy for real-time disaster response.

Keywords

Project Number

123E669

Thanks

This study was supported by the Scientific and Technological Research Council of Türkiye (TÜBİTAK) under project number 123E669.

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Details

Primary Language

English

Subjects

Deep Learning, Machine Learning Algorithms, Classification Algorithms

Journal Section

Research Article

Authors

Emre Güçlü ^*
0000-0002-4566-7517
Türkiye

İlhan Aydın
0000-0001-6880-4935
Türkiye

Erhan Akın
0000-0001-6476-9255
Türkiye

Publication Date

January 31, 2026

Submission Date

June 5, 2025

Acceptance Date

September 10, 2025

Published in Issue

Year 2026 Volume: 14 Number: 1

DOI

https://doi.org/10.21541/apjess.1715068

IZ

https://izlik.org/JA24FC67HE

Cite

RIS / Bibtex

APA

Güçlü, E., Aydın, İ., & Akın, E. (2026). A Flood Segmentation Model Enhanced by Residual Squeeze-and-Excitation (R-SE) Blocks. Academic Platform Journal of Engineering and Smart Systems, 14(1), 17-25. https://doi.org/10.21541/apjess.1715068

AMA

1.Güçlü E, Aydın İ, Akın E. A Flood Segmentation Model Enhanced by Residual Squeeze-and-Excitation (R-SE) Blocks. APJESS. 2026;14(1):17-25. doi:10.21541/apjess.1715068

Chicago

Güçlü, Emre, İlhan Aydın, and Erhan Akın. 2026. “A Flood Segmentation Model Enhanced by Residual Squeeze-and-Excitation (R-SE) Blocks”. Academic Platform Journal of Engineering and Smart Systems 14 (1): 17-25. https://doi.org/10.21541/apjess.1715068.

EndNote

Güçlü E, Aydın İ, Akın E (January 1, 2026) A Flood Segmentation Model Enhanced by Residual Squeeze-and-Excitation (R-SE) Blocks. Academic Platform Journal of Engineering and Smart Systems 14 1 17–25.

IEEE

[1]E. Güçlü, İ. Aydın, and E. Akın, “A Flood Segmentation Model Enhanced by Residual Squeeze-and-Excitation (R-SE) Blocks”, APJESS, vol. 14, no. 1, pp. 17–25, Jan. 2026, doi: 10.21541/apjess.1715068.

ISNAD

Güçlü, Emre - Aydın, İlhan - Akın, Erhan. “A Flood Segmentation Model Enhanced by Residual Squeeze-and-Excitation (R-SE) Blocks”. Academic Platform Journal of Engineering and Smart Systems 14/1 (January 1, 2026): 17-25. https://doi.org/10.21541/apjess.1715068.

JAMA

1.Güçlü E, Aydın İ, Akın E. A Flood Segmentation Model Enhanced by Residual Squeeze-and-Excitation (R-SE) Blocks. APJESS. 2026;14:17–25.

MLA

Güçlü, Emre, et al. “A Flood Segmentation Model Enhanced by Residual Squeeze-and-Excitation (R-SE) Blocks”. Academic Platform Journal of Engineering and Smart Systems, vol. 14, no. 1, Jan. 2026, pp. 17-25, doi:10.21541/apjess.1715068.

Vancouver

1.Emre Güçlü, İlhan Aydın, Erhan Akın. A Flood Segmentation Model Enhanced by Residual Squeeze-and-Excitation (R-SE) Blocks. APJESS. 2026 Jan. 1;14(1):17-25. doi:10.21541/apjess.1715068