Extraction method of cotton seedlings number based on UAV multispectral images
Accurate and rapid acquisition of the number of cotton seedlings plays a vital role in the early de-cision-making of cotton management.This study uses UAV remote sensing to obtain multi-spectral images of cotton seedling stage,removes soil,plastic film and other background through vegetation index NDVI,ex-tracts cotton seedling contour through image processing operations such as gray scale operation,threshold segmentation,morphological transformation,and uses OpenCV image recognition and counting method to obtain cotton seedling quantity,with statistical error between 0.23％and 1.45％.Based on the ground sur-vey,the linear regression analysis method is used to establish the linear relationship model between the number of UAV image recognition plants and the actual number of plants.The results show that the model accuracy indexes R2,RSME and nRSME are 0.9865,1.6124 and 2.137％,respectively.This method can provide technical support for the subsequent determination of seedling emergence rate and accurate eval-uation of cotton high yield in large areas.
emergence rateimage recognitionvegetation indexlinear function relation modelUAV
NETL
NSTL
万方数据
