基于最大公约数的遥感影像空间尺度转换算法
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高永刚, 徐涵秋
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Scale Transformation Algorithm for Remote Sensing Imagery Based on Greatest Common Divisor
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GAO Yonggang*,XU Hanqiu
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| 表2 IKONOS原始影像与尺度转换后影像定量评价表(尺度: 0.6 m) |
| Tab. 2 Quantitative evaluation of the scale transformation algorithms (Scale: 0.6 m) |
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| 方法 | 波段 | 评价指标 | | Mean | STD | SD | RMSE | ERGAS | CC | | 原始影像 | 1 | 457.501 | 88.939 | - | - | - | - | | 2 | 499.650 | 134.548 | - | - | - | - | | 3 | 378.310 | 153.395 | - | - | - | - | | 4 | 504.025 | 174.153 | - | - | - | - | | 商业（软件）算法 | 1 | 457.627 | 89.206 | 18.418 | 42.521 | 9.291 | 0.893 | | 2 | 499.810 | 134.880 | 29.469 | 64.073 | 12.820 | 0.886 | | 3 | 378.526 | 153.714 | 33.565 | 71.888 | 18.991 | 0.890 | | 4 | 504.407 | 174.265 | 49.750 | 100.117 | 19.848 | 0.834 | | 本文算法 | 1 | 457.501 | 88.939 | 0.000 | 0.000 | 0.000 | 1.000 | | 2 | 499.650 | 134.548 | 0.000 | 0.000 | 0.000 | 1.000 | | 3 | 378.310 | 153.395 | 0.000 | 0.000 | 0.000 | 1.000 | | 4 | 504.025 | 174.153 | 0.000 | 0.000 | 0.000 | 1.000 | | 商业（软件）算法→本文算法 | 1 | 457.683 | 89.222 | 15.082 | 35.732 | 7.807 | 0.925 | | 2 | 499.734 | 134.973 | 23.810 | 53.983 | 10.803 | 0.920 | | 3 | 378.419 | 153.820 | 27.105 | 59.563 | 15.740 | 0.916 | | 4 | 504.108 | 174.187 | 39.576 | 79.526 | 15.776 | 0.896 | 本文算法→
商业（软件）算法 | 1 | 457.600 | 89.072 | 17.133 | 40.822 | 8.921 | 0.899 | | 2 | 499.773 | 134.750 | 27.604 | 61.405 | 12.286 | 0.898 | | 3 | 378.509 | 153.654 | 31.560 | 69.278 | 18.303 | 0.897 | | 4 | 504.139 | 174.248 | 46.784 | 97.203 | 19.281 | 0.844 |
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