Vector-quantized dual-branch fusion network for robust image fusion and anomaly suppression

•Propose a Vector-Quantized Dual-Branch Fusion Framework Develop a novel architecture with discrete codebooks to eliminate ambiguous latent spaces, fundamentally suppressing the propagation of anomalies (speckle noise, sidelobes) and environmental interferences (clouds, low-light degradation) in mul...

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Vydané v:	Information fusion Ročník 126; s. 103630
Hlavní autori:	Huang, Siyang, Su, Shaojing, Wei, Junyu, Hu, Liushun, Cheng, Zhangjunjie
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.02.2026
Predmet:	Multi-modal image fusion Transformer Vector quantization Visible and Infrared image Visible and SAR image Visible and Infrared image Multi-modal image fusion Transformer Vector quantization Visible and SAR image
ISSN:	1566-2535
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