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Distributed method for restoring SAR image based on ADMM

An image recovery and distributed technology, which is applied in the direction of radio wave reflection/re-radiation, using re-radiation, and measurement devices, can solve the problem that SAR images cannot be reconstructed in large scenes, so as to improve the quality of radar imaging and compensate for noise and defects. , the effect of easy distribution

Active Publication Date: 2019-09-17
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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  • Distributed method for restoring SAR image based on ADMM
  • Distributed method for restoring SAR image based on ADMM
  • Distributed method for restoring SAR image 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

The invention discloses a distributed method for restoring an SAR image based on ADMM. The method comprises the following steps: 1, constructing an observation matrix; 2, building an SAR image sparse information restoration model according to the observation matrix obtained in the step 1; 3, designing a distributed solution algorithm based on an ADMM algorithm for the SAR image sparse information restoration model obtained in the step 2 according to a variable grouping strategy; and 4, building the distributed solution algorithm based on the ADMM algorithm designed in the step 3 by utilizing a Spark platform, and finally obtaining the restored SAR image. A compressed sensing model is built by utilizing an information theory principle and a machine learning distributed algorithm; a sparse reconstruction target is solved through the distributed ADMM algorithm; the compressed sensing is combined with the machine learning distributed algorithm, so that the problem of reconstruction of the airborne SAR image in any motion state and large-scale scenes can be solved; and the method has very important theoretical and practical significances.

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 Applications(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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