The spectral consistency between the camouflage target and the background is an important indicator for evaluating the optical camouflage effect.Under the optical reconnaissance threat of random time and arbitrary direction,changes in the angle of sunlight incidence and different observation angles result in corresponding changes in the spectral characteristics of the observed target and background,leading to spectral dynamic differences that make it difficult to accurately evaluate the fusion degree between disguised targets and background.To address this issue,a spectral consistency analysis method based on Bidirectional Reflectivity Distribution Function (BRDF) is proposed.The model parameters are obtained through generalized inverse matrix regression fitting,and a kernel coefficient consistency index is constructed to quantify the difference between disguised targets and background parameters,achieving dynamic spectral consistency analysis from multiple angles.The model is compared with traditional evaluation methods through experimental verification, and the results show that the evaluation results of traditional consistency analysis methods fluctuate with changes in angles,while the proposed method provides stable evaluation results for dynamic spectral consistency.This indicates that the method is more reliable and reasonable than the traditional methods, which has reference significance for the evaluation of optical camouflage.