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基于深度学习的SAR图像海洋涡旋自动检测模型
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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
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Deep learning-based automatic detection model for ocean eddies in SAR images
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LIU Tailong 1(  ), XIE Tao 1,2,3,4(  ), LI Jian 1,3,4, WANG Chao 1,5, ZHANG Xuehong 1,3,4
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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
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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 |
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