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4 IKONOS原始影像与尺度转换后影像定量评价表(尺度: 3 m) |
| Tab. 4 Quantitative evaluation of the scale transformation algorithms (Scale: 3 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 | 457.370 | 88.746 | 17.311 | 40.973 | 8.955 | 0.899 | | 2 | 499.360 | 134.352 | 27.686 | 61.452 | 12.297 | 0.896 | | 3 | 378.085 | 153.354 | 31.668 | 69.343 | 18.320 | 0.891 | | 4 | 503.460 | 174.258 | 46.766 | 97.201 | 19.279 | 0.845 | | 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 | 457.468 | 89.035 | 11.533 | 34.388 | 7.517 | 0.935 | | 2 | 499.554 | 134.604 | 18.368 | 51.286 | 10.266 | 0.929 | | 3 | 378.162 | 153.450 | 21.182 | 58.116 | 15.368 | 0.910 | | 4 | 504.145 | 174.560 | 29.918 | 77.752 | 15.423 | 0.901 | | 本文算法→商业（软件）算法 | 1 | 457.392 | 88.787 | 17.091 | 40.755 | 8.910 | 0.900 | | 2 | 499.400 | 134.412 | 27.427 | 61.422 | 12.299 | 0.896 | | 3 | 378.131 | 153.421 | 31.565 | 69.502 | 18.381 | 0.897 | | 4 | 503.449 | 174.265 | 45.571 | 95.478 | 18.965 | 0.850 |
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