SwinSegFormer: Advancing Aerial Image Semantic Segmentation for Flood Detection

Semantic segmentation of aerial images is essential for unmanned aerial vehicle (UAV) applications in disaster management, particularly for identifying the flood-affected areas. Traditional techniques face challenges in capturing global semantic information due to their limited receptive fields, and...

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Bibliographic Details

Published in:	IEEE Open Journal of the Computer Society
Main Authors:	Muhammad Tariq Shaheen, Hafsa Iqbal, Numan Khurshid, Haleema Sadia, Nasir Saeed
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Flood detection semantic segmentation SegFormer swin transformer unmanned aerial vehicles (UAVs) vision transformers
Online Access:	https://ieeexplore.ieee.org/document/10979465/