Aiming at the problems of low brightness,weak contrast,high noise,and lack of details in low-light aerial images,a low-light aerial image enhancement algorithm(MARNet) based on Retinex theory and multi-attention mechanism is proposed.Firstly,the low-light aerial image is decomposed into light map and reflection map,and the CBAM attention mechanism is introduced into the noise adjustment network,so that the network pays more attention to the high-noise area and removes lots of the noises in reflection map.Secondly,a lighting adjustment network is designed by using up-and down-sampling structure.The channel attention mechanism is introduced to improve the brightness of the light map,and the regional loss function is added to improve the detail contrast.Finally,a set of low-light aerial images dataset is established by using the low-light image synthesis method with real noises.The experimental results show that the proposed method can enhance brightnes,reduce noise and restore details,and PSNR,SSIM,NIQE and visual perception are improved.