Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Synthetic Aperture Radar Imaging Method Based on Noise Distribution Constraints in Image Sparse Domain

A technology of synthetic aperture radar and noise distribution, which is applied in image enhancement, image data processing, radio wave reflection/re-radiation, etc., and can solve problems affecting imaging effects, etc.

Inactive Publication Date: 2016-05-25
XIDIAN UNIV
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when he added the 1-norm total variation regular constraint to the scene, he assumed that the reconstructed scene is piecewise smooth. This assumption will cause some details and textures of the SAR image to become too smooth and affect the imaging effect.

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
  • Synthetic Aperture Radar Imaging Method Based on Noise Distribution Constraints in Image Sparse Domain
  • Synthetic Aperture Radar Imaging Method Based on Noise Distribution Constraints in Image Sparse Domain
  • Synthetic Aperture Radar Imaging Method Based on Noise Distribution Constraints in Image Sparse Domain

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0033] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0034] Step 1, construct the echo signal model of spotlight SAR imaging.

[0035] (1a) The carrier aircraft flies along the predetermined track, and the imaging radar transmits a chirp signal to the area to be imaged at a fixed pulse repetition frequency, receives echo data in various directions and saves them in the memory of the SAR imaging system;

[0036] (1b) Perform frequency mixing and low-pass filtering on the echo data in sequence, and eliminate the quadratic phase term to obtain the r expression of the echo to be processed:

[0037] r θ ( t ) = ∫ ∫ x 2 ...

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

The invention discloses a synthetic aperture radar (SAR) imaging method based on image sparse domain noise distribution constraint. The problem that currently, during SAR imaging, speckle removing is carried out, so that image details and lines are too smooth is solved. According to the method, an imaging radar device is used first for emitting detecting signals to a target zone and receiving echo data, and the echo data are preprocessed; then according to the preprocessed echo data and an observing process, an SAR imaging reestablished model is established; one-norm regularization constraint for scene field sparse domain noise distribution is added in the reestablished model; and then a sparse optimization method is used for obtaining high-resolution SAR images. During scene reestablishing, speckle removing is carried out, the SAR image detail maintaining degree is good, and the lines are clear.

Description

technical field [0001] The invention belongs to the technical field of microwave imaging, in particular to a high-resolution synthetic aperture radar SAR imaging method capable of suppressing coherent spots while imaging, which can be used in the fields of earth remote sensing, military reconnaissance and the like. Background technique [0002] Compared with optical sensors, synthetic aperture radar has all-weather and all-weather earth observation capabilities, so it is widely used in earth remote sensing, ocean research, resource exploration, military reconnaissance and other fields. [0003] The sparse representation theory that has emerged in recent years points out that if a high-dimensional signal itself is sparse or can be sparsely represented in a certain transform domain, the signal can be projected onto a low-dimensional space through an observation matrix unrelated to the transform domain. And the high probability signal reconstruction is realized by optimization ...

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): G01S13/90G06T5/00
CPCG01S13/90G06T5/002G01S13/9052
Inventor 赵光辉王成龙罗喜石光明沈方芳
Owner XIDIAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products