Semantic Segmentation of Aerial Imagery Using U-Net with Self-Attention and Separable Convolutions

This research addresses the crucial task of improving accuracy in the semantic segmentation of aerial imagery, essential for applications such as urban planning and environmental monitoring. This study emphasizes the significance of maintaining the Intersection over Union (IOU) score as a metric and...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Bakht Alam Khan, Jin-Woo Jung
Format:	Article
Language:	English
Published:	MDPI AG 2024-04-01
Subjects:	semantic segmentation U-Net self-attention separable convolutions aerial imagery remote sensing
Online Access:	https://www.mdpi.com/2076-3417/14/9/3712