SAR image minor lobe suppression method based on module value constraint

A side lobe suppression and image technology, applied in image enhancement, image data processing, reflection/re-radiation of radio waves, etc. The effect of reducing the width of the main lobe and suppressing noise

Inactive Publication Date: 2014-12-03
XIDIAN UNIV
View PDF3 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0014] The disadvantage of the above method is that the orientation weight w in formula 1) m and the distance weight w n It is only 0 or 1/2. In practical applications,

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
  • SAR image minor lobe suppression method based on module value constraint
  • SAR image minor lobe suppression method based on module value constraint
  • SAR image minor lobe suppression method based on module value constraint

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0072] refer to figure 1 , the concrete implementation steps of the present invention are as follows:

[0073] Step 1. Input the SAR image.

[0074] Input a M×N SAR image, where M is the number of sampling points in the azimuth direction, and N is the number of sampling points in the range direction.

[0075] Step 2. Get the real part image and the imaginary part image.

[0076] The real part and imaginary part of each pixel of the SAR image are separated to form the real part image I and the imaginary part image Q respectively.

[0077] Step 3. Set constraint factor: δ=1.15.

[0078] Step 4. Calculate the orientation weight of each pixel in the real image I.

[0079] 4a) Express each pixel of the real image as I(m,n), where m is the azimuth coordinate, 1≤m≤M, and n is the distance coordinate, 1≤n≤N;

[0080] 4b) Use the following formula to calculate the azimuth weight w corresponding to each pixel point I(m,n) of the real part image I 1 (m,n):

[0081] ...

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 an SAR image minor lobe suppression method based on module value constraint. The method mainly solves the problem that strong target points in an SAR image shelter weak target points adjacent to the strong target points. The method comprises the implementation steps of 1, inputting the SAR image and acquiring a real part image I and an imaginary part image Q; 2, calculating the azimuth weight of the real part image I and acquiring an azimuth real part image I1; 3, calculating the distance weight of the azimuth real part image I1 and acquiring a distance real part image Ic; 4, calculating the azimuth weight of the imaginary part image Q and acquiring an azimuth imaginary part image Q1; 5, calculating the distance weight of the azimuth imaginary part image Q1 and acquiring a distance imaginary part image Qc; 6, synthesizing the distance real part image Ic and the distance imaginary part image Qc into the final SAR image. According to the method, minor lobes of the SAR image can be better suppressed, the width of a main lobe is decreased, and the capacity of detecting the weak target points in the SAR image is improved. The method can be applied to target recognition.

Description

technical field [0001] The invention relates to the technical field of radar imaging, in particular to a SAR image sidelobe suppression method, which can be applied to radar images. Background technique [0002] Sidelobe suppression technology has always been one of the key technologies in the field of radar image processing, and it is widely used in sidelobe suppression of radar impulse response. Many important SAR image quality parameters can be estimated by impulse response, such as two quality parameters related to sidelobe performance: peak sidelobe ratio PSLR and integral sidelobe ratio ISLR can be measured by impulse response. The size of PSLR determines the ability of strong target points to cover adjacent weak target points, and ISLR indicates the degree to which the local dark area in the SAR image is submerged by the energy leakage of the surrounding bright areas. [0003] The performance of side lobes directly affects the information utilization in SAR images. B...

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
IPC IPC(8): G01S13/90G06F19/00G06T5/00G01S7/36
CPCG01S7/2813G01S13/90G06T5/003G01S13/9004
Inventor 熊涛刘红英王朝阳王爽侯彪马文萍杨淑媛张向荣
Owner XIDIAN 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