Extraction of Areas of Rice False Smut Infection Using UAV Hyperspectral Data

文献类型： 外文期刊

第一作者： An, Gangqiang

作者： An, Gangqiang;Xing, Minfeng;He, Binbin;Zhang, Hongguo;An, Gangqiang;Xing, Minfeng;He, Binbin;Kang, Haiqi;Shang, Jiali;Liao, Chunhua;Huang, Xiaodong

作者机构：

关键词： UAV; hyperspectral data; rice; rice false smut

期刊名称：REMOTE SENSING （ 影响因子：4.848； 五年影响因子：5.353 ）

ISSN：

年卷期： 2021 年 13 卷 16 期

页码：

收录情况： SCI

摘要： Rice false smut (RFS), caused by Ustilaginoidea virens, is a significant grain disease in rice that can lead to reduced yield and quality. In order to obtain spatiotemporal change information, multitemporal hyperspectral UAV data were used in this study to determine the sensitive wavebands for RFS identification, 665-685 and 705-880 nm. Then, two methods were used for the extraction of rice false smut-infected areas, one based on spectral similarity analysis and one based on spectral and temporal characteristics. The final overall accuracy of the two methods was 74.23 and 85.19%, respectively, showing that the second method had better prediction accuracy. In addition, the classification results of the two methods show that the areas of rice false smut infection had an expanding trend over time, which is consistent with the natural development law of rice false smut, and also shows the scientific nature of the two methods.

分类号：

  • 相关文献
作者其他论文 更多>>

微信小程序