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
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • 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

Examples

Experimental program
Comparison scheme
Effect test

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap