基于时空谱特征的遥感影像时间序列变化检测
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秦乐, 何鹏, 马玉忠, 刘建强, 杨彬
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Change detection of satellite time series images based on spatial-temporal-spectral features
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QIN Le, HE Peng, MA Yuzhong, LIU Jianqiang, YANG Bin
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表3 不同方法的精度评估
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Tab.3 Accuracy assessment using different methods(%)
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场景 | 评价指标 | CCDC | COLD | CDSTS | 未变化 | 变化 | 未变化 | 变化 | 未变化 | 变化 | CD | precision | 84.73 | 92.44 | 82.46 | 93.02 | 97.12 | 94.55 | recall | 93.20 | 83.20 | 94.00 | 80.00 | 94.40 | 97.20 | F1 | 88.76 | 87.58 | 87.85 | 86.02 | 95.74 | 95.86 | OA | 88.20 | 87.00 | 95.80 | YY | precision | 80.95 | 84.21 | 77.30 | 88.43 | 92.51 | 94.86 | recall | 85.00 | 80.00 | 90.38 | 73.46 | 95.00 | 92.31 | F1 | 82.93 | 82.05 | 83.33 | 80.25 | 93.74 | 93.57 | OA | 82.50 | 81.92 | 93.65 | FQ | precision | 94.66 | 79.30 | 90.39 | 81.79 | 92.68 | 88.32 | recall | 75.00 | 95.77 | 79.62 | 91.54 | 87.69 | 93.08 | F1 | 83.69 | 86.76 | 84.66 | 86.39 | 90.12 | 90.64 | OA | 85.38 | 85.58 | 90.38 | XA | precision | 82.45 | 78.91 | 76.27 | 84.44 | 84.28 | 96.38 | recall | 77.69 | 83.46 | 86.54 | 73.08 | 96.92 | 81.92 | F1 | 80.00 | 81.12 | 81.08 | 78.35 | 90.16 | 88.57 | OA | 80.58 | 79.81 | 89.42 | FCG | precision | 88.65 | 78.46 | 94.94 | 85.15 | 97.61 | 91.35 | recall | 75.19 | 90.37 | 83.33 | 95.56 | 90.74 | 97.78 | F1 | 81.36 | 83.99 | 88.76 | 90.05 | 94.05 | 94.45 | OA | 82.78 | 89.44 | 94.26 |
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