The application of remote sensing technology has significantly improved the efficiency of monitoring wheat growth,but there is still a lack of effective methods in analyzing remote sensing images.Therefore,this article introduces continuous wavelet trans-form to better analyze remote sensing images and effectively monitor the growth status of wheat.In performance analysis,the proposed method can accurately determine the growth status of wheat at different stages within the range of 200-2000nm.Further research has found that the proposed method can significantly reflect the spectral reflectance differences of wheat leaves at the 4-6 scale.In the a-nalysis of wheat yield prediction,continuous wavelet transform processing is the most accurate,with a correlation coefficient of 0.86,a root mean square error of 58.6g/m2,and an average absolute percentage error of 10.6％,based on the standard of returning to green stage heading stage late flowering stage.Significantly superior to comparative algorithms.The research provides valuable re-search directions for effectively monitoring the growth status of wheat.
维普
万方数据