Extraction of Flue-cured Tobacco in Complex Mountainous Area Based on Multi-temporal Satellite Images
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摘要:
为提高卫星影像对复杂山区烤烟种植区的提取精度，以高分六号2 m分辨率卫星影像作为遥感数据源，基于多时相卫星遥感影像序列，根据烤烟不同生长期的卫星影像特征，采取面向对象分类方法，分别完成3个不同时相卫星影像的烤烟种植区初步提取，再利用多时相植被指数规则初步提取烤烟种植区，最后通过交叉验证获取烤烟种植区域，并完成精度验证。结果表明，研究方法能较为准确地提取复杂山区烤烟种植区，能够保持较低的错分率（5.3%），提取精度达94.67%，较基于单一时相卫星影像提取烤烟种植区域精度（90%）明显提升。
Abstract:In order to improve extraction accuracy of satellite images for complex mountainous tobacco planting areas, Gaofen No.6 2 m resolution satellite images were used as remote sensing data sources．Based on multi temporal satellite remote sensing image sequences and satellite image features of different growth stages of tobacco, an object-oriented classification method was adopted to complete preliminary extraction of tobacco planting areas from three different temporal satellite images．multi temporal vegetation index rules were used for preliminary extraction of tobacco planting areas, and finally obtaining tobacco planting areas through cross validation, and completing accuracy verification．Results showed that research method could accurately extract complex mountainous tobacco planting areas, maintain a low misclassification rate（5.3%）, and achieve an extraction accuracy of 94.67%, significantly improving accuracy of extracting tobacco planting areas based on a single temporal satellite image（90%）．
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图 4 研究区烤烟种植区提取结果分布
Figure 4. Distribution of extraction results of flue-cured tobacco planting area in study area
表 1 研究区烤烟物候期划分
Table 1. Phenological division of flue-cured tobacco in research area
时间 3月 4月 5月 6月 7月 8月 上旬 中旬 下旬 上旬 中旬 下旬 上旬 中旬 下旬 上旬 中旬 下旬 上旬 中旬 下旬 上旬 中旬 
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表 2 分类精度评价结果
Table 2. Classification accuracy evaluation results
分类
结果地类 用户
精度/%生产者
精度/%Kappa
系数错分
率/%多时相 烤烟地 93.5 98.42 0.85 1.5 其他 97 88.18 0.97 13 总精度：94.67%，总Kappa系数：0.94，总错分率：5.3% 8月
13日烤烟地 98.5 87.95 0.98 13.5 其他 73 96.05 0.63 3 总精度：90% ，总Kappa系数：0.9，总错分率：10%
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