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Multi-frequency near-field millimeter wave sparse image reconstruction method

A sparse reconstruction and millimeter wave technology, applied in image data processing, 2D image generation, radio wave measurement system, etc., can solve problems such as reconstructing images and achieve good imaging quality

Active Publication Date: 2021-06-11
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Aiming at the above-mentioned deficiencies in the prior art, a multi-frequency near-field millimeter-wave sparse image reconstruction method provided by the present invention solves the problem of how to effectively reconstruct images from multi-frequency sparse observation data

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  • Multi-frequency near-field millimeter wave sparse image reconstruction method
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Embodiment Construction

[0055] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0056] Such as figure 1 As shown, a multi-frequency near-field millimeter wave sparse image reconstruction method includes the following steps:

[0057] S1. Scanning the area to be measured by a multi-frequency near-field millimeter-wave device to obtain a multi-frequency sparse observation sequence;

[0058] S2. According to the multi-frequency sparse observation sequence, the reconstructed scanned image of the region to ...

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Abstract

The invention discloses a multi-frequency near-field millimeter wave sparse image reconstruction method, which comprises the following steps of S1, scanning an area to be detected through a multi-frequency near-field millimeter wave device to obtain a multi-frequency sparse observation sequence; S2, according to the multi-frequency sparse observation sequence, through a mixed imaging algorithm based on a Gini weighted norm structure tensor total variation fusion operator, obtaining a reconstructed scanning image of the to-be-measured area. According to the method, the problem of how to effectively reconstruct the image from the multi-frequency sparse observation data is solved.

Description

technical field [0001] The invention relates to an image reconstruction method, in particular to a multi-frequency near-field millimeter wave sparse reconstruction image method. Background technique [0002] For a near-field millimeter-wave imaging system working at a single frequency, its imaging quality is often affected by factors such as noise, reconstruction artifacts, and system hardware limitations. In order to ensure relatively stable image reconstruction quality, you can choose to work in The multi-frequency near-field millimeter-wave imaging system averages the reconstructed images at each frequency to generate images with more stable quality. For the single-frequency near-field millimeter-wave sparse imaging system, the hybrid sparse function composed of the l1 norm and the TV operator can already characterize the sparsity of the image, enabling the algorithm to reconstruct from the sparse observation data obtained at a low undersampling rate image. For the mult...

Claims

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Application Information

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IPC IPC(8): G01S13/89G06T11/00
CPCG01S13/89G06T11/006Y02D30/70
Inventor 唐宇毕东杰吕珏谢永乐李西峰谢暄帅萍李洪彭礼彪
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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