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Open access 2026

DGFO-cGAN: A Dual-Generators Framework-Based Fusion Optimization cGAN for SAR-to-Optical Image Translation

Experimental results demonstrate that DGFO-cGAN outperforms 11 mainstream image translation methods, achieving notably higher structural similarity index measure and learned perceptual image patch similarity, and generating optical images with clearer structures and richer details.

Zhi-Hao Zhang, Zhi-Guo Fu, Han Nie et al. · 0 citations

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