| 基于Sentinel-1B SAR数据的农作物分类方法研究 |
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| 引用本文： | 朱凤敏,吴迪,杨佳琪.基于Sentinel-1B SAR数据的农作物分类方法研究[J].测绘与空间地理信息,2020(5):105-108. |
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| 作者姓名： | 朱凤敏 吴迪 杨佳琪 |
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| 作者单位： | 黑龙江测绘计量仪器检定站;自然资源部黑龙江基础地理信息中心;黑龙江地理信息工程院 |
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| 摘 要： | 以欧空局免费资源哨兵1号(Sentinel-1B)时间序列数据为基础,利用不同农作物的后向反射系数——时间序列特征建立随机森林分类器,进行旱地作物分类,探索雷达遥感监测旱地农作物结构的可行性和实用性。研究结果表明:在三江平原地区利用多时相VV极化雷达数据可以区分玉米和大豆作物,分类精度介于65%—68%之间,利用本研究方法可以掌握农作物种植结构分布概况。
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| 关 键 词： | 农作物种植结构 SAR 时间序列 |
Research on Crop Classification Method Based on Sentinel-1B SAR Data |
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| ZHU Fengmin,WU Di,YANG Jiaqi.Research on Crop Classification Method Based on Sentinel-1B SAR Data[J].Geomatics & Spatial Information Technology,2020(5):105-108. |
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| Authors: | ZHU Fengmin WU Di YANG Jiaqi |
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| Institution: | (Heilongjiang Surveying and Mapping Measuring Instrument Verification Station,Harbin 150081,China;Heilongjiang Geomatics Centre,Ministry of Natural Resources,Harbin 150081,China;Heilongjiang Institute of Geographic Engineering,Harbin 150081,China) |
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| Abstract: | This study is based on the ESA free resources sentinel 1(Sentinel-1B)time series data,a random forest classifier was established by using the backward reflection coefficient time series characteristics of different crops to classify dry land crops and explore the feasibility of radar remote sensing monitoring dry land crop structure,The results show that corn and soybean can be distinguished by using multi-phase VV polar metric radar data in Sanjiang Plain,and the classification accuracy is between 65%—68%.The general situation of crop planting structure distribution can be mastered by using this research method. |
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| Keywords: | crop planting structure SAR time series |
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