Water Extraction Method of High Resolution Remote Sensing Image Based on ASPP-SCBAM-DenseUnet

Table 1. Ablation experimental results %
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Table 1. Ablation experimental results %
方案 A R F₁ U I
Unet 89.31 86.81 91.47 80.48 79.62
方案一 92.17 93.39 93.40 85.52 85.04
方案二 91.66 91.51 93.08 84.59 84.03
方案三 92.41 90.88 93.81 85.83 85.25
方案四 94.19 94.29 95.15 89.02 88.63

Table 2. Index values of water body extracted by different loss functions %
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Table 2. Index values of water body extracted by different loss functions %
损失函数 A R F₁ U I
Dice Loss 92.03 89.60 93.58 85.11 84.46
CrossEntropy Loss 92.38 92.61 93.65 85.85 85.35
Focal Loss 93.88 92.87 94.95 88.43 87.98
联合损失函数 94.19 94.29 95.15 89.02 88.63

Table 3. Model accuracy comparison table %
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Table 3. Model accuracy comparison table %
模型 A R F₁ U I
Unet 89.31 86.81 91.47 80.48 79.62
FCN 90.80 93.98 92.08 83.24 82.77
Linknet 92.12 90.86 93.56 85.34 84.76
DeeplabV3+ 92.66 93.36 93.84 86.35 85.87
本文方法 94.19 94.29 95.15 89.02 88.63

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Yuting XIE, Ping LIU, Wenming SHEN, Yu GAO, Shufeng HAO, Xin HAN, Yuang LI. Water Extraction Method of High Resolution Remote Sensing Image Based on ASPP-SCBAM-DenseUnet[J]. Spacecraft Recovery & Remote Sensing, 2024, 45(3): 92

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