面向汛旱情监测的遥感影像GPU并行处理算法
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赵晓晨, 吴皓楠, 李林宜, 孟令奎
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GPU-based parallel image processing algorithm for flood and drought monitoring
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ZHAO Xiaochen, WU Haonan, LI Linyi, MENG Lingkui
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表3 传统串行和CUDA并行辐射处理耗时对比
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Tab.3 Processing time of CPU and CUDA for radiometric correction(s)
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波段号 | 影像读取 | 直方图统计 | 波段运算 | 产品输出 | 合计 | 传统串行 | CUDA并行 | 传统串行 | CUDA并行 | 传统串行 | CUDA并行 | 传统串行 | CUDA并行 | 传统串行 | CUDA并行 | B1 | 2.76 | 3.57 | 32.71 | 31.7 | 16.34 | 7.54 | 2.90 | 3.70 | 54.71 | 46.51 | B2 | 3.42 | 3.29 | 28.76 | 40.29 | 22.90 | 8.30 | 3.16 | 2.21 | 58.24 | 54.09 | B3 | 8.35 | 4.57 | 40.23 | 37.75 | 17.95 | 10.48 | 3.21 | 2.39 | 69.74 | 55.19 | B4 | 4.57 | 7.63 | 22.95 | 39.32 | 14.21 | 6.54 | 1.98 | 3.25 | 43.71 | 56.74 | B5 | 6.54 | 9.47 | 34.69 | 30.07 | 26.30 | 9.36 | 4.32 | 5.73 | 71.85 | 54.63 | B6 | 2.32 | 3.12 | 32.81 | 31.60 | 18.68 | 10.23 | 6.31 | 4.16 | 60.12 | 49.11 | B7 | 3.21 | 2.67 | 39.65 | 28.40 | 19.73 | 6.98 | 3.29 | 5.27 | 65.88 | 43.32 | B8 | 7.48 | 4.32 | 27.03 | 38.27 | 20.10 | 4.38 | 2.70 | 4.90 | 57.31 | 51.87 | B9 | 3.24 | 6.32 | 26.54 | 33.91 | 19.43 | 7.49 | 2.40 | 3.57 | 51.61 | 51.29 | B10 | 5.31 | 2.13 | 35.63 | 29.50 | 27.31 | 7.90 | 2.98 | 4.78 | 71.23 | 44.31 | B11 | 3.59 | 4.36 | 31.26 | 35.10 | 15.49 | 10.61 | 2.67 | 2.90 | 53.01 | 52.97 | 均值 | 4.62 | 4.68 | 32.02 | 34.17 | 19.86 | 8.16 | 3.27 | 3.90 | 59.76 | 50.91 |
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