基于PROBA/CHRIS影像的归一化阴影植被指数NSVI构建与应用效果
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胡新宇, 许章华, 陈文慧, 陈秋霞, 王琳, 刘辉, 刘智才
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Construction and application effect of normalized shadow vegetation index NSVI based on PROBA/CHRIS image
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HU Xinyu, XU Zhanghua, CHEN Wenhui, CHEN Qiuxia, WANG Lin, LIU Hui, LIU Zhicai
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表4 5个角度影像地物分类精度评估
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Tab.4 Accuracy assessment of different ground objects extracted from five angles
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角度/ (°) | 类别 | 生产者 精度/% | 使用者 精度/% | 总精度/% | Kappa | | 0 | 明亮区植被 | 92.91 | 99.16 | 96.33 | 0.938 2 | | 阴影区植被 | 99.28 | 94.52 | | 水体区 | 97.06 | 94.29 | | 36 | 明亮区植被 | 91.41 | 98.32 | 95.67 | 0.926 9 | | 阴影区植被 | 98.56 | 93.84 | | 水体区 | 100.00 | 94.29 | | -36 | 明亮区植被 | 91.41 | 98.32 | 95.67 | 0.927 6 | | 阴影区植被 | 98.56 | 93.84 | | 水体区 | 100.00 | 94.29 | | 55 | 明亮区植被 | 93.55 | 97.48 | 95.67 | 0.927 6 | | 阴影区植被 | 97.14 | 93.79 | | 水体区 | 91.67 | 91.67 | | -55 | 明亮区植被 | 93.44 | 95.00 | 94.02 | 0.899 5 | | 阴影区植被 | 95.10 | 93.79 | | 水体区 | 91.67 | 91.67 |
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