Work

Enhanced U-Net with Boundary Aware Modules for Waterbody Area Segmentation of Satellite Images

Year: 2025

Type: conference-paper

Source: International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE)

DOI: 10.1109/rmkmate64874.2025.11042656

Authors: L. T. Senthil Kumar, M. Kalaiyarasi, L. T. Hemalatha, S. Saravanan

Institution: Saveetha University

Language: English

Topic: Remote-Sensing Image Classification

Subfield: Media Technology

Field: Engineering

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: closed

OpenAlex ID: W4411640725

FWCI: 5.607

Cites: 8

Cited by: 3

Related to: 10