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

A Multi-angle SAR Image Fusion Method Based on Visibility Classification

An image fusion, multi-angle technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of reducing imaging overlap and insufficient detection of blind spots, to improve readability and intelligibility, algorithm Ease of use and high classification accuracy

Active Publication Date: 2019-10-29
PLA PEOPLES LIBERATION ARMY OF CHINA STRATEGIC SUPPORT FORCE AEROSPACE ENG UNIV
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] In order to solve the problem that the above-mentioned multi-angle SAR fusion imaging algorithm is insufficient in reducing imaging overlapping and detecting blind areas, the present invention provides a brand-new multi-angle SAR image fusion imaging algorithm—a multi-angle SAR image based on visibility classification fusion method

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
  • A Multi-angle SAR Image Fusion Method Based on Visibility Classification
  • A Multi-angle SAR Image Fusion Method Based on Visibility Classification
  • A Multi-angle SAR Image Fusion Method Based on Visibility Classification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0064] Embodiment 1: Single-platform SAR multi-view fusion imaging detection. A single platform carrying a SAR payload follows a designed curved flight path and performs imaging detection around the target area of ​​interest. Due to the drastic change of target scattering characteristics and imaging space geometry with the observation angle, full-aperture coherent accumulation processing cannot achieve optimal imaging detection effect, and multi-view SAR fusion imaging processing must be considered. The multi-angle SAR image fusion method based on visibility classification of the present invention can be used to solve the fusion imaging processing problem at this time. Such as figure 1 As shown, it is a flow chart of the multi-angle SAR image fusion method based on visibility classification in the present invention, and the specific steps are:

[0065] Step 1: Determine the imaging plane, and use the time-domain fast back-projection algorithm to complete the coherent accumul...

Embodiment 2

[0118] Embodiment 2: Multi-platform SAR simultaneous multi-view fusion imaging detection. Multiple detection platforms carrying SAR payloads simultaneously implement cooperative imaging detection on the target area of ​​interest along the designed flight path. Since the spatial geometric relationship between each imaging platform and the target is completely different, the scattering characteristics of the target corresponding to the imaging detection of each platform are different, and the image features and phenomena such as overlapping and shadowing of the image are also different. The coherent accumulation of imaging results from different viewing angles makes it difficult to obtain the optimal imaging detection effect. At this time, multi-view SAR fusion imaging processing must be considered to realize the fusion of imaging detection results from different imaging platforms and different viewing angles, and improve the high-quality imaging reconnaissance of the target are...

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 provides a novel multi-angle SAR (Synthetic Aperture Radar) image fusion imaging algorithm, in particular, a visibility classification-based multi-angle SAR image fusion method. According to the method, the multi-angle of view visibility LI of non-overlap pixels of each azimuth angle-of-view image is calculated according to the overlap region and non-overlap region of image pixels; and sophisticated classification of the image pixels is automatically realized according to the visibility indicator; and the contributions of different angle-of-view observation results to the image pixels can be distinguished, and therefore, angles making contributions are utilized to realize fusion, and the defect of incapability of a simple fusion method to obtain an optimal fusion result can be eliminated. The image fusion method of the invention has the advantages of simple principles, good fusion quality and simple calculation of the visibility indicator, high classification accuracy and simplicity in engineering realization.

Description

technical field [0001] The invention belongs to the field of imaging radar detection and at the same time belongs to the field of image fusion processing, in particular to a multi-angle SAR image fusion method based on visibility classification. Background technique [0002] As an active microwave sensor, Synthetic Aperture Radar (SAR) makes full use of pulse compression technology, synthetic aperture principle and signal coherent processing method, and can obtain two-dimensional high-resolution in range and azimuth with real small aperture antenna. The radar image can realize all-day and all-weather target observation, obtain target information through the surface and vegetation, track and measure the scattering characteristics of the target, and realize imaging recognition of maneuvering targets. These characteristics make it a major tool for modern military reconnaissance. The high-resolution radar images it acquires greatly promote the informatization process of military...

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): G06T5/50G06T5/00G06T7/41G06T7/11
CPCG06T5/002G06T5/50G06T2207/20221
Inventor 尹灿斌冉达劳国超
Owner PLA PEOPLES LIBERATION ARMY OF CHINA STRATEGIC SUPPORT FORCE AEROSPACE ENG 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