SAR image super-resolution method based on combined optimization

Abstract

The invention proposes an SAR image super-resolution method based on combined optimization, and the method is used for solving a technical problem that a conventional SAR image super-resolution method is poor in image restoration effect. The method comprises the following steps: inputting a high-resolution SAR image and a low-resolution SAR image in the same scene; carrying out the segmentation of the high-resolution SAR image and the low-resolution SAR image; cutting a training set into blocks; carrying out the feature extraction of high-low resolution image block sets; carrying out the clustering of a training image set, and obtaining K-class image blocks; carrying out the iterative optimization of the K-class image blocks, and obtaining K mapping matrixes; cutting a test low-resolution SAR image into blocks; carrying out the feature extraction of the test image blocks; selecting a most appropriate mapping matrix for each test image block, carrying out the reconstruction of each test image block, carrying out the clustering of the reconstructed image blocks, and obtaining the high-resolution SAR image. The method is accurate in reconstruction, is low in manual noise, and can be used for providing more accurate information for the subsequent interpretation and target recognition and detection of an SAR image.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a SAR image super-resolution method, in particular to a SAR image super-resolution method based on joint optimization, which can be used for subsequent interpretation, target identification and target detection of SAR images. more accurate information. Background technique [0002] Synthetic Aperture Radar (SAR) is an all-weather and all-weather microwave remote sensing imaging radar. SAR can obtain rich target information, and has extensive research and application value in agriculture, forestry, military, geology, hydrology, and oceans, such as the identification of land feature types, crop growth monitoring, yield evaluation, land feature classification, Sea ice monitoring, land subsidence monitoring, target detection and marine pollution detection, etc. In SAR imaging technology, spatial resolution, as an important index to measure image quality, has always attracted...

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Problems solved by technology

[0005] The purpose of the present invention is to overcome the defects in the above-mentioned prior art, and propose a SAR image super-resolution method based on joint optimization, which is used to solve the existing SAR image super-resolution method due to reconstruction errors and artificial noise. Technical issues resulting in poor image restoration

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