Aiming at the problems of small object scale and low resolution in remote sensing image object detection,a remote sensing image detection method based on residual adversarial object detection algorithm is proposed in this paper.The feature information of the image is reconstructed through residual adversarialism,so as to realize the improvement of image resolution.Based on image feature information which is extracted by Backbone network,the features are fused by Neck structure.Finally,the CIoU_Loss function is designed to increase the regression accuracy,and improve model performance.Experimental results show that,compared with other algorithms,the mean precision,mean recall,mean F1-score and mean mAP value of this algorithm are improved by 8.15%,6.9%,7.15% and 6.75% respectively.The algorithm has high accuracy in object detection in low-resolution remote sensing images,and has good effect on small object detection in remote sensing images.