SAR ship detection based on adaptive anchor and multi-scale enhancement
Aiming at the problem that the scales of synthetic aperture radar(SAR)ship detection anchors are fixed,and the performance of multi-scale detection is poor,a SAR ship detection method based on adaptive anchors multi-scale enhancement network(AA-MSE-Net)is proposed.Firstly,AA-MSE-Net introduces adaptive anchors mechanism to generate high quality anchors that adapt to the target shape,which enhances the ability to describe the target shape.Secondly,AA-MSE-Net proposes a multi-scale enhancement feature pyramid network to fusion enhanced multi-scale features,thus enhance the multi-scale description ability of the network.Finally,AA-MSE-Net introduces deformable convolution in the backbone to extract ship deformation features and further improve detection accuracy.Experiments show that the average precision of AA-MSE-Net on the public SAR ship detection dataset is higher than that of eight comparison methods.
万方数据
维普
