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

Neighborhood entropy and consistency detection-based SAR (synthetic aperture radar) image registration method

An image registration and consistency technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problem of low registration accuracy, increase the number of image features, reduce the number, and improve image registration accuracy Effect

Inactive Publication Date: 2017-02-15
XIDIAN UNIV
View PDF4 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to address the deficiencies in the above-mentioned prior art, and propose a SAR image registration method based on neighborhood entropy and consistency detection, which is used to solve the registration problems existing in the existing feature-based SAR image registration method. Technical issues with low accuracy

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
  • Neighborhood entropy and consistency detection-based SAR (synthetic aperture radar) image registration method
  • Neighborhood entropy and consistency detection-based SAR (synthetic aperture radar) image registration method
  • Neighborhood entropy and consistency detection-based SAR (synthetic aperture radar) image registration method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] Below in conjunction with accompanying drawing and embodiment, the present invention is described in further detail:

[0031] refer to figure 1 , the present invention comprises the following steps:

[0032] Step 1. Using the bilateral filtering algorithm, filter the SAR image reference image and the image to be registered respectively, to obtain the filtered reference image and the image to be registered;

[0033] The calculation formula of the bilateral filtering algorithm is:

[0034]

[0035] Among them, a represents the spatial position of the pixel to be filtered, b represents the spatial position of any pixel in the neighborhood S of the pixel to be filtered, and I a and I b Respectively represent the pixel values ​​corresponding to the pixel a to be filtered and any pixel b in its neighborhood, G σs and G σr Respectively, the standard deviation is σ s and σ r Gaussian space kernel and Gaussian intensity kernel of , take σ s = 2, σ r =0.1, which respe...

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 present invention relates to a neighborhood entropy and consistency detection-based SAR (synthetic aperture radar) image registration method. The objective of the invention is to solve the technical problem of low registration accuracy of an existing feature-based image registration method. The method includes the following steps that: a bilateral filtering algorithm is adopted to filter an SAR image reference map and an image to be registered; a BRISK (Binary Robust Invariant Scalable Key point) algorithm is adopted to perform feature extraction on the SAR image filtered reference map and the filtered image to be registered; distance matching is adopted to obtain initial matching point pairs; wrong matching point pairs are removed through using the neighborhood entropies of feature points; wrong matching point pairs are removed through using a consistency detection algorithm; an affine transformation matrix between the SAR image filtered reference map and the filtered image to be registered is calculated; the affine transformation matrix is used to transform the filtered image to be registered, so that a transformed filtered image to be registered can be obtained; and an optimal affine transformation matrix is obtained through using a genetic algorithm, affine transformation is performed on the filtered image to be registered, and the transformed filtered image to be registered and the filtered reference map are displayed in a superimposed manner.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a SAR image registration method, in particular to a SAR image registration method based on neighborhood entropy and consistency detection, which can be used in fields such as SAR image fusion, change detection, and computer vision. Background technique [0002] Image registration is a key technology in the field of image processing, which refers to the process of matching and superimposing two or more images at different times, different sensors or under different conditions (weather, illumination, camera position and angle, etc.). Image registration is widely used in SAR image fusion, change detection, computer vision and other fields. [0003] The main working principle of Synthetic Aperture Radar (SAR) is: the signal transmitting equipment radiates electromagnetic wave signals in the microwave frequency band to the target area, and then the antenna receives the reflecte...

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): G06T7/30
CPCG06T2207/10044G06T2207/20028
Inventor 王爽焦李成张丹丹常钊樊伟明李玉娟梁雪峰
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