An NSST-Based Fusion Method for Airborne Dual-Frequency, High-Spatial-Resolution SAR Images

An NSST-Based Fusion Method for Airborne Dual-Frequency, High-Spatial-Resolution SAR Images

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With the continuous development of synthetic aperture radar (SAR) technology, SAR image data turbosound ts-18sw700/8a are becoming increasingly abundant.For the same scene, dual-frequency (high-frequency and low-frequency) SAR images can present different details and feature information.SAR image fusion of the two frequencies can combine the advantages of both, thus describing targets more comprehensively.

Because high-resolution SAR images contain a large amount of detailed information, such as edges and textures, the traditional fusion methods cannot fuse this information better, resulting in a loss of information.To solve the problem, this article proposes a fusion method suitable for airborne dual-frequency, high-resolution SAR images.First, the source SAR images are weleda skin food 75ml best price decomposed to obtain their low-pass bands and high-pass bands by using the nonsubsampled Shearlet transform (NSST).

Then, we apply the improved nonnegative matrix factorization to merge the low-pass bands and use the new sum of modified Laplacian to merge the high-pass bands.After that, the fused low-pass bands and high-pass bands are reconstructed by the inverse NSST, to obtain the final fused image.Finally, by processing the airborne SAR data, the effectiveness of the proposed method is verified.