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Generative Adversarial Networks for Synthesizing InSAR Patches
[article]
2020
arXiv
pre-print
Generative Adversarial Networks (GANs) have been employed with certain success for image translation tasks between optical and real-valued SAR intensity imagery. Applications include aiding interpretability of SAR scenes with their optical counterparts by artificial patch generation and automatic SAR-optical scene matching. The synthesis of artificial complex-valued InSAR image stacks asks for, besides good perceptual quality, more stringent quality metrics like phase noise and phase coherence.
arXiv:2008.01184v1
fatcat:jojukmp7bfg6lcdvpjk2dxxsvq