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

A Method of Pseudo-Color Processing for Synthetic Aperture Radar Grayscale Image

A synthetic aperture radar and gray-scale image technology, applied in the field of image processing, can solve the problems of low computational efficiency, weak false color effects in image texture and edge areas, etc., and achieve high computational efficiency, good visual effects, and easy visual inspection interpretation effect

Active Publication Date: 2022-06-14
XIAMEN UNIV
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to solve the problems that the existing SAR image pseudo-color enhancement method has low calculation efficiency, and the image texture and edge area false-color effect is not strong. The present invention starts from the scattering characteristics of the SAR image itself and integrates linear coding and nonlinear coding. The advantages of the proposed an improved segmented gray-color transformation 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 Method of Pseudo-Color Processing for Synthetic Aperture Radar Grayscale Image
  • A Method of Pseudo-Color Processing for Synthetic Aperture Radar Grayscale Image
  • A Method of Pseudo-Color Processing for Synthetic Aperture Radar Grayscale Image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] Based on the scattering characteristics of the SAR image itself, the invention integrates the advantages of linear coding and non-linear coding, and proposes an improved segmented gray-color transformation method. The calculation is simple, the texture is clear and the visual effect is good. It highlights the subtle differences that are difficult to detect in grayscale images, enhances the extraction and interpretation of target information in SAR images, and improves the utilization of SAR data.

[0024] The present invention includes the following steps:

[0025] 1) Filter and preprocess the input SAR image to suppress speckle noise. The filtering preprocessing can use the Lee filtering that comes with ENVI software, which can not only effectively eliminate speckle noise in the flat terrain area, but also preserve edge information.

[0026] 2) Perform segmentation coding on the gray value f(x, y) of the SAR image, and obtain the function expression of the RGB three c...

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

A method for performing pseudo-color processing on synthetic aperture radar grayscale images relates to image processing. The method comprises the following steps: 1) performing filter preprocessing on the input SAR image to suppress speckle noise; 2) performing segmentation encoding on the gray value of the SAR image; 3) performing RGB band combination to form a pseudo-color enhanced image. The image enhanced by false color contains rich color information, with outstanding details and clear texture, and has a good visual effect on both land and sea. The present invention is similar in time to the rainbow coded pseudo-color process, and nearly 4 times faster than the pixel-by-pixel transformation method. High calculation efficiency, simple and practical. In addition, not only can false color enhancement be performed on SAR images, but it is also suitable for other gray-scale images with narrow gray scale range and large noise, and has good versatility. The grayscale image is processed by pseudo-color to enrich and highlight the useful and detailed information of the ground features, which is convenient for visual interpretation.

Description

technical field [0001] The invention relates to image processing, in particular to a method for pseudo-color processing of synthetic aperture radar grayscale images. Background technique [0002] Synthetic Aperture Radar (SAR) has the characteristics of all-day, all-weather, and unaffected by severe weather. It can penetrate clouds and has unique advantages in space-to-earth observation and military reconnaissance (Wang Zhongjiao. Based on regularization Research on pseudo-color enhancement method of single-polarization SAR image [D]. 2015). Haisi-1 is the first offshore and coastal remote sensing satellite in domestic universities, and also the first C-band light and small SAR satellite in the world. It provides strong support for remote sensing inversion, marine disaster monitoring, flood detection and surface deformation analysis. At present, SAR remote sensing images have become an important data source for observing oceans and land. However, unlike optical remote sens...

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): G06T5/00
CPCG06T5/002G06T5/009G06T2207/10024G06T2207/10044
Inventor 耿旭朴吕素娜薛思涵胡礼珍
Owner XIAMEN 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