基于ESTARFM模型的区域农田高时空分辨率影像产生与应用
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陈梦露,李存军,官云兰,周静平,王道芸,罗正乾
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Generation and application of high temporal and spatial resolution images of regional farmland based on ESTARFM model
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Meng-Lu CHEN,Cun-Jun LI,Yun-Lan GUAN,Jing-Ping ZHOU,Dao-Yun WANG,Zheng-Qian LUO
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表3 原始Landsat-8 OLI影像与ESTARFM融合后结果相关性分析
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Table 3 Correlation analysis of original Landsat-8 OLI image and ESTARFM fusion
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区域与影像获取日期 Region and acquisition date | 波段 Band | 决定系数 R2 | 均方根误差 RMSE | 方差 Variance | 平均绝对偏差 MAD | 河北Hebei | Blue | 0.8684 | 0.0451 | 0.0020 | 0.0355 | 2017-04-12 | Green | 0.8810 | 0.0566 | 0.0032 | 0.0447 | | Red | 0.9446 | 0.0767 | 0.0059 | 0.0614 | | NIR | 0.8551 | 0.1010 | 0.0102 | 0.0741 | | SWIR1 | 0.9309 | 0.1029 | 0.0106 | 0.0807 | | SWIR2 | 0.9081 | 0.1106 | 0.0122 | 0.0901 | 黑龙江Heilongjiang | Blue | 0.8913 | 0.0171 | 0.0003 | 0.0171 | 2017-09-09 | Green | 0.8906 | 0.0190 | 0.0004 | 0.0190 | | Red | 0.9017 | 0.0252 | 0.0006 | 0.0252 | | NIR | 0.7013 | 0.0278 | 0.0008 | 0.0278 | | SWIR1 | 0.7775 | 0.0332 | 0.0011 | 0.0332 | | SWIR2 | 0.7236 | 0.0443 | 0.0019 | 0.0443 | 新疆Xinjiang | Blue | 0.7842 | 0.0407 | 0.0017 | 0.0349 | 2017-06-23 | Green | 0.8084 | 0.0496 | 0.0024 | 0.0420 | | Red | 0.8613 | 0.0679 | 0.0046 | 0.0594 | | NIR | 0.8682 | 0.0932 | 0.0087 | 0.0765 | | SWIR1 | 0.8817 | 0.0836 | 0.0069 | 0.0589 | | SWIR2 | 0.9123 | 0.0973 | 0.0095 | 0.0839 |
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