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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Paper Title
SegFormer-Based Semantic Segmentation of Water Bodies Using Sentinel-1 and Sentinel-2 Satellite Imagery
Authors
Jayaprabha T, Arfath Khan S, Irfan Basha J, Jamalludeen M, Hameeth S
Keywords
Water body segmentation using satellite imagery is essential for flood monitoring
Abstract
Water body segmentation using satellite imagery is essential for flood monitoring, environmental planning, and sustainable resource management. This study proposes a deep learning-based framework for semantic segmentation using SegFormer and DeepLabV3+ models, trained on a combination of Sentinel-1 (SAR) and Sentinel-2 (optical) satellite data. The pipeline includes preprocessing using Google Earth Engine (GEE), cloud storage and access via AWS S3, and training on AWS EC2 GPU instances. Evaluation metrics such as IoU, F1-score, Precision, and Recall confirm the superiority of our model over traditional threshold-based methods. The system supports scalable, real-time monitoring for diverse geographic regions and climatic conditions.
IJCRT's Publication Details
Unique Identification Number - IJCRT25A4435
Paper ID - 283636
Page Number(s) - m285-m290
Pubished in - Volume 13 | Issue 4 | April 2025
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Jayaprabha T, Arfath Khan S, Irfan Basha J, Jamalludeen M, Hameeth S, "SegFormer-Based Semantic Segmentation of Water Bodies Using Sentinel-1 and Sentinel-2 Satellite Imagery", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 4, pp.m285-m290, April 2025, Available at :http://www.ijcrt.org/papers/IJCRT25A4435.pdf
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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