S, Alex David and Meghana, Pabbathi Venkata and Srinija, Jagadala and Janardhan, T.V.K. and Shankar, B Prabhu and Durai, B. Sakthi Karthi (2025) Deep Supervised U-Net++ for Semantic Segmentation of Water Bodies in Satellite Imagery. In: Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part I.
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Abstract
Accurate extraction of water bodies from satellite imagery is necessary for hydrological evaluation, environmental monitoring, and sustainable resource management. In this paper, we propose a deep learning method for semantic segmentation based on a U-Net++ architecture and deep supervision to detec
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 20:17 |
| Last Modified: | 16 Apr 2026 15:59 |
| URI: | http://eprints.eai.eu/id/eprint/60048 |
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