The invention relates to a SAR image based on adversarial generation network, and a visible light image mode conversion method. The method comprises: firstly, extracting feature vectors of satellite images at the same position, and enabling the feature vectors to serve as the prior information of the SAR image; And inputting the priori information and the SAR image into a generator to generate a visible light image with an SAR image target. Secondly, a discriminator in the generative adversarial network is trained, and a formula LGAN (GAB, D, A and B) = Eb-B [log D (b)] + Ea-A [log (1-D (GAB (a)))] is adopted as discrimination loss; And finally, judging whether the trained adversarial generation network has a model folding error or not, namely inputting different SAR images, and enabling most of the output of the generator to be the same visible light image. And meanwhile, another generator is trained, and the feature similarity of the two images is compared by adopting generation loss; generating a loss of LGAN (GAB, GBA, A, B) = Ea-A [| | GAB (GBA (a))- A||1]. And when network training is completed, curves of the judgment loss and the generation loss tend to be stable, the judgment loss is not increased any more, and the generation loss is not reduced any more.