基于深度学习的SAR图像海洋涡旋自动检测模型
刘太龙1(), 谢涛1,2,3,4(), 李建1,3,4, 王超1,5, 张雪红1,3,4
Deep learning-based automatic detection model for ocean eddies in SAR images
LIU Tailong1(), XIE Tao1,2,3,4(), LI Jian1,3,4, WANG Chao1,5, ZHANG Xuehong1,3,4

图3. 自适应特征融合模块(AFCM)结构图

Conv代表卷积层, Split代表分割层, PMBlock代表使用PConv和MLCA构建的新模块, Concat代表拼接层

Fig. 3. Structure diagram of AFCM. Conv represents convolutional layer, Split represents split layer, PMBlock represents new module constructed using PConv and MLCA, and Concat represents concatenation layer