Complex number domain SAR image fusion based on Laplacian pyramid

Aiming at the problem of low azimuth resolution due to the limited azimuth observation angle of a single synthetic aperture radar (SAR) image, a multi-view SAR image fusion method is proposed. According to the characteristics of complex number domain SAR images in the MSTAR dataset, this method uses complex image domain data for processing. First, the morphological opening and closing operations are used to suppress the background noise, and then the Canny operator is used to extract the target contour, and the target area is separated from the original image according to the contour. Then the angle information in the image data is used to complete the image registration, and finally the multiple targets are merged through the Laplacian pyramid, and the obtained image contains more information and has an improved resolution. The simulation and real data processing results show that the multi-view SAR image fusion algorithm can better reduce the influence of external errors and improve the resolution.