Radiometric Correction Of Remote Sensing Image Based On Spectral Angle Constraint

With the development of remote sensing technology,the demand of remote sensing products has changed from qualitative to quantitative,which put forward higher requirements for the precision of radiometric correction.Radiometric correction is the premise and basis of quantification of remote sensing information,the precision of radiometric correction affects the reliability and application of remote sensing data.Traditional radiometric correction processes each band independently,which ignored the objective law of the spectrum.With the development of hyperspectral technology,the relationship between the spectrum will be even more significant,and the spectral reflectance law will be more obvious.In order to make full use of the information of each band for radiometric correction,based on the traditional radiometric correction method,Aiming at UAV multi-spectral image and hyperspectral satellite image,a radiometric correction method based on spectral angle constraint is proposed by introducing spectral Angle constraint condition,which can improve the accuracy of radiometric correction.The main research contents are as follows:(1)Aiming at the problem of radiometric correction of unmanned aerial vehicle(UAV)multispectral image,a radiometric correction method based on spectral angle constraint was derived by introducing spectral angle constraint condition on the basis of empirical linear regression method.And the results of two kinds of radiation correction methods were analyzed,the results show that the spectral angle constraint method can effectively improve the accuracy of radiometric correction of UAV remote sensing image,and its overall average relative error was reduced by 4.63%,and the average absolute error and root mean square error is reduced too.(2)The spectral angle constraint is carried out separately with different types of ground targets,and the influence of constraint modeling on the precision of radiometric correction is analyzed.The results show that the spectral angle constraint with vegetation can improve the accuracy of radiometric correction,and the overall average precision is about 6% higher than that of the empirical linear method.However,the radiometric accuracy of the two methods is basically the same by using other types of ground objects.(3)Aiming at the problem of radiometric correction of satellite hyperspectral image,the applicability of spectral angle constraint method derived from UAV image to hyperspectral satellite image is discussed on the basis of ground reflection basis method.The results of two kinds of radiation correction methods were analyzed,and the results show that the spectral angle constraint method can improve the accuracy of radiometric correction of hyperspectral satellite image,and its overall average relative error was reduced by 1.78%,and the mean absolute error and root mean square error are also reduced.In addition,the effect of improving the accuracy of different bands is similar to that of the UAV remote sensing image.Through the experiments of UAV multispectral image and satellite hyperspectral image,this paper compares and analyzes the radiometric correction accuracy of the traditional radiometric correction method and the spectral angle constraint method proposed in this paper,and analyze the influence of different ground object modeling on radiometric correction accuracy,which lays a foundation for further study on radiometric correction method.