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1 IKONOS原始影像与尺度转换后影像定量评价表(尺度: 2.1 m) |
| Tab. 1 Quantitative evaluation of the scale transformation algorithms (Scale: 2.1 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 | 457.658 | 89.127 | 25.827 | 52.062 | 11.376 | 0.859 | | 2 | 499.956 | 134.772 | 40.693 | 77.405 | 15.482 | 0.835 | | 3 | 378.582 | 153.520 | 46.246 | 85.474 | 22.577 | 0.845 | | 4 | 505.493 | 174.515 | 68.193 | 116.083 | 22.964 | 0.779 | | 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 | 457.324 | 88.954 | 4.622 | 19.211 | 4.201 | 0.977 | | 2 | 499.254 | 134.478 | 7.528 | 30.255 | 6.060 | 0.974 | | 3 | 377.748 | 153.117 | 8.740 | 35.321 | 9.350 | 0.973 | | 4 | 503.760 | 174.071 | 12.328 | 49.902 | 9.906 | 0.959 | | 本文算法→商业（软件）算法 | 1 | 457.532 | 89.015 | 17.269 | 40.397 | 8.829 | 0.896 | | 2 | 499.827 | 134.672 | 27.521 | 61.326 | 12.272 | 0.895 | | 3 | 378.413 | 153.496 | 31.270 | 67.517 | 17.837 | 0.903 | | 4 | 505.196 | 174.238 | 47.259 | 91.853 | 18.218 | 0.860 |
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