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一种基于Sentinel-2的塑料大棚提取方法
引用本文:刘天宇,赵展,史同广.一种基于Sentinel-2的塑料大棚提取方法[J].农业工程,2021,11(10):91-98.
作者姓名:刘天宇  赵展  史同广
作者单位:山东建筑大学测绘地理信息学院,山东 济南250101
基金项目:国家科技基础资源调查专项(2019FY202502)
摘    要:采用Sentinel-2 MSI(multispectral instrument,MSI)作为数据源,以多尺度面向对象分析为基本方法,研究分析塑料大棚与其他地物在不同分割尺度下的典型特征,建立一组大棚指数,提出一种基于大棚指数集的塑料大棚提取方法。通过山东省潍坊市某地区的塑料大棚提取试验对方法进行验证,应用该方法提取大棚的生产者精度、用户精度和总体Kappa系数分别为96.6%、89.2%和0.9,测试精度表明该方法能较为有效地应用于塑料大棚提取研究。 

关 键 词:塑料大棚    Sentinel-2  MSI    多尺度    指数集    面向对象提取
收稿时间:2021/6/22 0:00:00
修稿时间:2021/8/2 0:00:00

An Extraction Method of Plastic Greenhouse Based on Sentinel-2
Abstract:Sentinel-2 MSI(multispectral instrument,MSI)was used as data source,and multi-scale object-oriented analysis was used as basic method to study and analyze typical characteristics of plastic greenhouse and other ground objects at different segmentation scales.A set of greenhouse index was established,and a method of plastic greenhouse extraction was proposed based on greenhouse index set.The method was validated by experiment of plastic greenhouse extraction in Weifang City,Shandong Province.The producer precision,user precision and overall Kappa coefficient of the method were 96.6%,89.2% and 0.9 respectively.The accuracy results showed that the method could be effectively applied to research of plastic greenhouse extraction. 
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