Research on bird Image segmentation based on U-Net
Currently,the spotting of birds activity mainly relys on the pilots'observation in the general avi-ation activities.Besides,the methods at home and abroad are not suitable for widespread use.Therefore,focusing on the problem above,with the aid of image segmentation method based on the deep learning,the problem can be solved.U-Net image segmentation strategy is introduced to aviation images analysis,and deep convolutional neural network is used to process the images of birds.Based on the characteristics of complex image background,uneven target distribution and variable size,an optimized U-NET network is proposed to save and utilize the image information better.Experiments show that the image segmentation effect of the optimized network is better than existing method.
deep learning networkattention mechanismbirds activityimage segmentationaviation safety