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A distributed method of sar image restoration based on admm

An image recovery and distributed technology, which is applied in the direction of radio wave reflection/re-radiation, instruments, measuring devices, etc., can solve the problem that SAR images cannot be reconstructed in large scenes, and achieve the effect of improving the quality of radar imaging

Active Publication Date: 2021-12-28
XI AN JIAOTONG UNIV
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Problems solved by technology

[0003] The purpose of the present invention is to provide a distributed method for SAR image restoration based on ADMM, which solves the problem that existing traditional methods cannot reconstruct large scene SAR images

Method used

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  • A distributed method of sar image restoration based on admm
  • A distributed method of sar image restoration based on admm
  • A distributed method of sar image restoration based on admm

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Embodiment

[0106] The following are specific numerical calculation examples and real SAR image examples to illustrate the effectiveness of the algorithm. All experiments are implemented on the Spark platform using Scala language. The cluster environment has a total of 28 nodes, respectively iNode1-iNode28, each node The available memory is 256G, 12 cores, the total available memory is 4.6T, the number of cores is 324 cores, the available memory of Driver is 300G, and the available memory of Exector is 256G.

[0107] Table 1: Numerical calculation results

[0108] data dimension data size iteration steps precision The time spent (500000*1500000) 55.9G 100 1.24e-4 138s (512*256)*(512*512) 234.0G 100 9.00e-5 234s (512*512)*(1024*512) 937.5G 100 8.42e-5 1309s (3000000*6000000) 1341.1G 100 8.30e-5 1674s

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Abstract

A distributed method for SAR image restoration based on ADMM provided by the present invention includes the following steps: step 1, constructing an observation matrix; step 2, constructing a SAR image sparse information restoration model according to the observation matrix obtained in step 1; The SAR image sparse information recovery model obtained in step 2 designs a distributed solution algorithm based on the ADMM algorithm according to the strategy of variable grouping; step 4, uses the Spark platform to build the distributed solution algorithm based on the ADMM algorithm designed in step 3, and finally The recovered SAR image is obtained; the present invention utilizes the principle of information theory and machine learning distributed algorithm to establish a compressed sensing model, and solves the sparse reconstruction target through a distributed ADMM algorithm, and the present invention combines the compressed sensing of the SAR image with the machine learning distributed algorithm, It is of great theoretical and practical significance to be able to solve the problem of airborne SAR images in any motion state and reconstruction of large-scale scenes.

Description

technical field [0001] The invention relates to the field of radar technology in the electronics industry, in particular to a distributed method for restoring SAR images based on ADMM. Background technique [0002] Synthetic Aperture Radar (SAR) technology has the characteristics of all-day and all-weather, and it is widely used in environmental protection, disaster monitoring, ocean observation and other fields. At present, the synthetic aperture radar technology is developing towards a wider surveying swath to obtain high-resolution images, so the requirements for data sampling, transmission, and processing are getting higher and higher. Sparse synthetic aperture radar imaging is a new imaging mode that combines sparse information processing methods with synthetic aperture radar imaging technology. Accurately reconstruct the target at the required number of samples. Compression sensing (CS) method is a typical sparse signal processing method developed in recent years, wh...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S13/90G01S7/41
CPCG01S13/90G01S7/41G01S13/9004
Inventor 孙丽娜靖稳峰朱海振许鑫李星刘欢岳广德
Owner XI AN JIAOTONG UNIV
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