Analysis of Real time Remote Sensing Image Ship Target Rotation Detection Algorithm for YOLOv7
This paper describes a YOLOv7 algorithm for detecting ships with rotation angles in remote sensing images.Based on YOLOv7,angle component information is added to detect the rotation angle of ships.In the feature extraction section,a NAM attention module is added to improve the accuracy of detecting targets in large-scale remote sensing images without losing speed.Explore training and inference validation through self built remote sensing ship image datasets in heterogeneous AI computing environments.