At present,scanning infrared thermal imagershave a wide range of applications and the nonuniformity correction method based on calibration is generally adopted.However,this type of method is not effectively in correcting scan lines that appear in the image.To address this problem,the performance of scan lines is analyzed,and a scene based nonuniformity correction algorithm is proposed in this paper.This algorithm uses the standard deviation of the image pixel neighborhood as the basis,and calculates the difference information of the image through the class standard deviation,which can eliminate the interference of complex scenes and successfully identify scan linesand extract the compensation for the scanning lines.The algorithm is computationally simple,can be adaptively corrected according to the different scenes,and the correction effect is significant,which has some value for engineering applications.