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3 IKONOS原始影像与尺度转换后影像定量评价表(尺度: 1.5 m) |
| Tab. 3 Quantitative evaluation of the scale transformation algorithms (Scale: 1.5 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 | 457.537 | 88.939 | 19.808 | 43.908 | 9.597 | 0.893 | | 2 | 499.698 | 134.478 | 31.727 | 66.310 | 13.270 | 0.878 | | 3 | 378.434 | 153.370 | 36.363 | 74.707 | 19.741 | 0.882 | | 4 | 504.384 | 174.331 | 53.269 | 103.042 | 20.429 | 0.826 | | 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 | 457.370 | 88.746 | 17.231 | 40.888 | 8.940 | 0.898 | | 2 | 499.360 | 134.352 | 27.665 | 61.670 | 12.350 | 0.895 | | 3 | 378.085 | 153.354 | 31.828 | 69.785 | 18.458 | 0.890 | | 4 | 503.460 | 174.258 | 46.045 | 95.918 | 19.052 | 0.849 | | 本文算法→商业（软件）算法 | 1 | 457.456 | 88.861 | 18.961 | 42.756 | 9.348 | 0.901 | | 2 | 499.597 | 134.493 | 30.226 | 64.901 | 12.996 | 0.882 | | 3 | 378.419 | 153.359 | 34.431 | 71.901 | 19.015 | 0.889 | | 4 | 504.299 | 174.313 | 52.045 | 97.358 | 19.338 | 0.843 |
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