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Deep multi-feature learning architecture for water body segmentation from satellite images |
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| Affiliation: | Smart Surveillance Interest Group, Department of Computer Science, Universidade Federal de Minas Gerais, Av. Presidente Antônio Carlos, 6627 - Pampulha, Belo Horizonte, Brazil;Mepco Schlenk Engineering College, Tamil Nadu, India;School of Computing and Communications, Lancaster University, Lancaster LA1 4WA, UK;School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran |
| Abstract: | |
| Keywords: | Convolutional neural network Deep learning Refinement modules Satellite image analysis Water body extraction |
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