Global-Frequency-Domain Network: A Semantic Segmentation Method for High-Resolution Remote Sensing Images Based on Fine-Grained Feature Extraction and Global Context Integration

The accurate semantic segmentation of high-resolution remote sensing images is essential for urban planning and management applications. The inherent complex spatial structure and abundant contextual information in these images make segmentation challenges, such as feature recognition difficulties a...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Ye Zhou, Mingyue Zhang, Yechenzi Wang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2025-01-01
Schriftenreihe:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Schlagworte:	Attention mechanism Fourier transform frequency domain high-resolution remote sensing images semantic segmentation
Online-Zugang:	https://ieeexplore.ieee.org/document/10975104/
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