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

A Multi-angle SAR Image Fusion Method Based on Hue Statistical Classification

A technology with statistical characteristics and fusion methods, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of reducing imaging overlapping and insufficient ability to detect blind areas, so as to improve quality and efficiency, simple calculation, and convenient operation Effect

Active Publication Date: 2020-03-06
PLA PEOPLES LIBERATION ARMY OF CHINA STRATEGIC SUPPORT FORCE AEROSPACE ENG UNIV
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] In order to solve the problem that the current 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-multi-angle SAR image based on the classification of hue statistical characteristics 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 Hue Statistical Classification
  • A Multi-angle SAR Image Fusion Method Based on Hue Statistical Classification
  • A Multi-angle SAR Image Fusion Method Based on Hue Statistical Classification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0065] 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 the classification of hue statistical properties 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 the classification of hue statistical characteristics of the present invention, and the specific steps are:

[0066] Step 1: Divide the radar data acquired during the entire synthetic apertu...

Embodiment 2

[0111] 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 invention relates to a multi-angle SAR image fusion method based on hue statistical characteristic classification. The present invention provides a new multi-angle SAR image fusion imaging algorithm - a multi-angle SAR image fusion method based on hue statistical characteristic classification. The present invention cleverly utilizes the RGB pseudo-color image synthesized from multiple viewing angles to transform the spatial hue H component of the HIS directly related to the highlight degree of the pixels at the corresponding positions of each layer, and the main color of each pixel depends on the brightness of the component pixels of each layer at the corresponding positions. According to the rules, the hue component H of the RGB pseudo-color composite image is used to distinguish the overlapping areas in the SAR images from each viewing angle, and the classification threshold is set by the hue component H to perform filtering on each layer to eliminate or reduce multi-angle SAR fusion. The purpose of the overlay area in the image is to improve the detection probability of the target by the SAR system. The fusion algorithm of the present invention is simple in calculation and easy to operate, and can effectively overcome the adverse effects on target detection caused by overlapping, shadowing and other phenomena of single-view SAR images.

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 the classification of hue statistical properties. 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 informatizat...

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): G06T5/50G06T5/00
CPCG06T5/50G06T2207/20221G06T2207/10044G06T5/70
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com