Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Self-focusing method for strip synthetic aperture radar images

A synthetic aperture radar and strip-type technology, applied in the field of self-focusing, can solve problems such as accumulation of estimation errors and affecting the effect of self-focusing

Inactive Publication Date: 2010-05-19
苏州杰岚德信息技术有限公司
View PDF0 Cites 26 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the phase stitching method based on the second derivative will lead to serious accumulation of estimation errors and affect the self-focusing 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
  • Self-focusing method for strip synthetic aperture radar images
  • Self-focusing method for strip synthetic aperture radar images
  • Self-focusing method for strip synthetic aperture radar images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0060] The technical scheme of the invention will be described in detail below in conjunction with the drawings:

[0061] Such as figure 1 As shown, the present invention proposes to combine the PGA algorithm and the MD algorithm. First, the PGA algorithm is used to realize the high-precision estimation of the sub-aperture phase error function, and then the sub-aperture processing technology is used to complete the phase stitching to achieve the purpose of improving the image focus quality. The algorithm performance analysis and actual data processing results prove the effectiveness of the present invention.

[0062] 1) Restore the azimuth data of the striped SAR image and perform molecular aperture imaging.

[0063] 2) PGA processing is performed on each sub-image to obtain the first derivative of the sub-image and the sub-aperture phase error function after self-focusing.

[0064] 3) Using the MD algorithm to estimate the linear phase difference between the sub-aperture phase error...

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 self-focusing method for strip synthetic aperture radar images, and belongs to a self-focusing method for SAR images. The invention combines a phase gradient self-focusing PGA algorithm with a sub-aperture related MD algorithm to be applied to an algorithm PGA-MD in the self-focusing of strip synthetic aperture radar images. The method comprises the following steps: performing self-focusing processing on each sub-image by adopting the PGA algorithm to obtain high-precision sub-aperture phase error functions; calculating linear phase difference between sub-aperture phase error functions by utilizing the relationship between adjacent sub-images position phase offset and linear phase and applying the MD algorithm for realizing phase splicing; and finishing self-focusing processing for the strip SAR images. The invention substitutes the MD algorithm for traditional process of carrying out sub-aperture phase error function splicing based on the second derivative and improves the self-focusing effect of the strip SAR images.

Description

Technical field [0001] The invention relates to a self-focusing method for striped synthetic aperture radar images, which belongs to the technical field of self-focusing methods for SAR images. Background technique [0002] The phase gradient autofocus (PGA) algorithm improves the focus quality of synthetic aperture radar (SAR) images through phase error compensation. Because of its good self-focusing performance and robustness, it is widely used On the SAR image. This technology is as document 1: DE Wahl, PHEichel, DCGhiglia, CVJakowatz, JR.Phase Gradient Autofocus-A Robust Tool for HighResolution SAR Phase Correction 1994.2: Hian Lim Chan.Tat Soon Yeo.Noniterative QualityPhase-Gradient Autofocus(QPGA) The technology disclosed in Algorithm for Spotlight SAR Imagery 1998. [0003] Due to the characteristics of the data pattern of the striped SAR image, if the PGA algorithm is directly applied in the full aperture, different phase errors will be superimposed on each other, and the...

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 Applications(China)
IPC IPC(8): G01S13/90
Inventor 朱岱寅蒋锐毛新华汪玲李勇朱兆达
Owner 苏州杰岚德信息技术有限公司
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
Eureka Blog
Learn More
PatSnap group products