基于无人机高光谱影像和机器学习的红树林树种精细分类
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姜玉峰,齐建国,陈博伟,闫敏,黄龙吉,张丽
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Classification of Mangrove Species with UAV Hyperspectral Imagery and Machine Learning Methods
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Yufeng Jiang,Jianguo Qi,Bowei Chen,Min Yan,Longji Huang,Li Zhang
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表3 红树林分类结果精度评价
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Table 3 Accuracy assessment of mangrove classification results
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| 分类方法 | 总体精度 /% | Kappa | 海莲 | 正红树 | 黄槿 | 海桑 | 椰树 |
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| 生产者精度/% | 使用者精度/% | 生产者精度/% | 使用者精度/% | 生产者精度/% | 使用者精度/% | 生产者精度/% | 使用者精度/% | 生产者精度/% | 使用者精度/% |
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| RF | 92.70 | 0.91 | 90.51 | 92.26 | 89.93 | 88.16 | 89.38 | 88.15 | 94.34 | 95.86 | 86.88 | 87.10 | | SVM(RBF) | 72.49 | 0.68 | 67.30 | 68.75 | 52.80 | 57.01 | 55.89 | 57.35 | 68.33 | 60.89 | 66.58 | 64.51 | | SVM(Linear) | 60.97 | 0.54 | 11.04 | 100 | 92.56 | 46.29 | 69.54 | 39.51 | 87.10 | 75.34 | 4.20 | 81.33 | | SVM(Polynomial) | 63.55 | 0.57 | 0.35 | 100 | 91.79 | 46.10 | 60.99 | 39.47 | 86.76 | 75.13 | 17.47 | 63.34 |
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