一种结合孪生倒残差与自注意力增强的遥感影像变化检测方法
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张荞, 曹志成, 沈洋, 汪宙峰, 王成武, 许嘉欣
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A method combining the siamese inverted residual structure with self-attention enhancement for change detection based on remote sensing images
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ZHANG Qiao, CAO Zhicheng, SHEN Yang, WANG Zhoufeng, WANG Chengwu, XU Jiaxin
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表1 不同模型在LEVIR-CD和SAMPLE-CD数据集上的精度对比
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Tab.1 Comparison of accuracy evaluation of different model on LEVIR-CD and SAMPLE-CD(%)
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模型 | LEVIR-CD | SAMPLE-CD | OA | Precision | Recall | F1 | IoU | OA | Precision | Recall | F1 | IoU | FC-EF | 98.39 | 86.91 | 80.17 | 83.40 | 71.35 | 88.54 | 72.53 | 64.85 | 59.34 | 48.63 | FC-Siam-diff | 98.67 | 89.53 | 83.31 | 86.31 | 75.92 | 86.72 | 64.89 | 66.92 | 63.81 | 52.26 | FC-Siam-conc | 98.49 | 91.99 | 76.77 | 83.69 | 71.96 | 87.19 | 68.38 | 68.31 | 61.48 | 54.11 | BIT | 98.92 | 89.24 | 89.37 | 89.31 | 80.68 | 90.65 | 83.15 | 81.51 | 82.29 | 71.74 | Changeformer | 99.04 | 92.05 | 88.80 | 90.40 | 82.48 | 89.25 | 80.86 | 77.51 | 79.02 | 67.78 | Siam-MViT | 98.96 | 91.11 | 92.16 | 91.04 | 84.35 | 91.15 | 83.98 | 82.80 | 83.37 | 73.13 |
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