DDRNet: Dual-Domain Refinement Network for Remote Sensing Image Semantic Segmentation

Semantic segmentation is crucial for interpreting remote sensing images. The segmentation performance has been significantly improved recently with the development of deep learning. However, complex background samples and small objects greatly increase the challenge of the semantic segmentation task...

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Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing 2024, Vol.17, p.20177-20189
Hauptverfasser:	Yang, Zhenhao, Bi, Fukun, Hou, Xinghai, Zhou, Dehao, Wang, Yanping
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Background noise Computational modeling Decoding Foreground saliency enhancement frequency domain Frequency-domain analysis Noise Remote sensing remote sensing segmentation Semantic segmentation Semantics small objects Transformers
Online-Zugang:	Volltext
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