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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5. 多尺度特征空间金字塔模块(MFSP)结构图 Conv代表卷积层, MaxPool2d代表二维最大池化层, EMA代表高效多尺度注意力机制, Concat代表拼接层
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Fig. 5. MFSP structure diagram. Conv represents convolutional layer, MaxPool2d represents two-dimensional maximum pooling layer, EMA represents Efficient Multi-scale Attention mechanism, Concat represents concatenation layer |
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