Research on Tobacco Precise Recognition Method Based on UAV Image Data
In order to effectively reduce the impact of weeds on the identification of visible light images of tobacco and achieve accurate identification of tobacco,quadrotor UAVs were used to collect digital orthophoto map(DOM)at cultivation of tobacco base in Guizhou mountainous areas.According to the spectral characteristics of ground objects,CRDVI(color recombination difference vegetation index)was constructed,and OTSU was used to determine the segmentation threshold to achieve tobacco identification and extraction,and it was compared and analyzed with the common visible and difference vegetation index(VDVI),excess green(ExG),and improved green red vegetation index(MGRVI).The results indicated that CRDVI could effectively remove the impact of weeds on tobacco recognition and extraction;CRDVI outperformed VDVI,ExG,and MGRVI in identifying tobacco in plots with high weed coverage;the integrity of CRDVI recognition and extraction in the 3 experimental and validation sample areas was above 89%,with high extraction accuracy.The experiment confirmed that CRDVI could quickly and accurately extract tobacco and effectively restrain the influence of weeds,which provided a reference for the identification and extraction of characteristic Cash crop in mountain areas.
UAVtobaccoweedsremote sensing index characteristicsCRDVI
国家科技期刊平台
NSTL
万方数据
