SAR image fusion method based on a framework theory

Abstract

The invention discloses an SAR image fusion method based on a framework theory, and the method comprises the following steps: obtaining n low-resolution SAR images of the same scene as to-be-fused images, carrying out the bilinear interpolation processing of the to-be-fused images, and obtaining an intermediate image; sSelecting one image as a reference image, and performing staggered fusion on all the intermediate images according to the principle of minimum pixel value deviation to obtain an initial estimation image of the SAR image with higher resolution; constructing a framework matrix H by utilizing a point spread function; and according to the frame matrix H, carrying out restoration processing on the initial estimation image by using a Tikhonov regularization method of threshold iteration to obtain a high-resolution SAR image. According to the method, a more accurate, finer and more robust imaging equipment model is constructed by adopting a framework theory, pixel-level fusionis carried out on a plurality of low-resolution SAR images, target ground object edge details of the SAR images are increased, and the definition of the SAR images is improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a SAR image fusion method based on frame theory. Background technique [0002] Synthetic Aperture Radar (SAR) imaging is an all-weather and all-weather microwave remote sensing imaging radar. Because SAR imaging has the characteristics of not being affected by climate, strong penetrability, and long detection distance, it has a wide range of applications in the national economy and military fields. Therefore, the SAR image obtained by SAR imaging has important research value. [0003] Due to the inevitable error factors in the acquisition process of SAR images, such as non-ideal movement of the platform, atmospheric disturbance, data acquisition error, imaging algorithm error and system noise, these factors will greatly affect the clarity of the final SAR image. influences. The quality of the SAR image will seriously affect the subsequent application perfor...

AI Technical Summary

Problems solved by technology

Compared with multiple images, single image processing does not add new image information. The edge details of ground objects in SAR images are represented by the high frequency information of the image, while the processing of a single image only increases the low frequency information of the image. , does not increase the high-frequency information of the image, so single image processing does not improve the ability of some ground objects that are far away and cannot distinguish details

[0006] The existing image fusion technology is mainly based on the wavelet image fusion method, which uses the wavelet base to approximate the description of the imaging equipment model, and the description of the model is not fine enough, not robust enough, so that there are errors in the constructed imaging equipment model, resulting in inaccurate restoration of the image. clear

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