问题 |
E3S网页汇编
卷积2522021
2021年电网系和绿色能源国际会议 |
|
---|---|---|
文章号 | 02081 | |
页数 | 6 | |
段内 | 研发电气设备与能源核电设备 | |
多尔市 | https://doi.org/10.1051/e3sconf/202125202081 | |
在线发布 | 2021年4月23日 |
作物分布提取基于Sentinel数据
一号西安科技大学
2Xi'an测图有限公司710054
*对应作者 :
b/电子邮件 :18210210081@xust.stu.edu.cn
a/电子邮件 :18210063036@xust.stu.edu.cn
C级电子邮件 :873280820@qq.com
Remote sensing identification and classification of crops is the use of remote sensing for estimating crop planting area of timely and accurate monitoring of crop growth and plant diseases and insect pests in advance to make the product output to estimate the key and premise of the study using Sentinel-1 and Sentinel-2 satellite, by random forest algorithm, the traditional optical wavelengths and vegetation index The backward scattering field of red edge information and radar information in feature selection and feature classification, including winter wheat summer corn orchard woodland town water and bare land set three controls, such as the first group contains radar time characteristics, the characteristics of the second control group contains red edge long, the third group includes traditional vegetation index for phase characteristics, analyzed the different classification accuracy.混淆矩阵结果显示红边带后索引和雷达散射信息有效提高加入作物分类精度定时光雷达卫星5-6天大有作物监测研究潜力
必威西汉姆赞助2021年EDP科学出版
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