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

Remote sensing image color correction method and system based on cloud mask and MSR

A remote sensing image and color technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems of low contrast of color correction results and cloud color cast, etc., to reduce manual processing costs, improve universality, and improve The effect of processing efficiency

Active Publication Date: 2020-05-19
CHINA SURVEY SURVEYING & MAPPING TECH
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem solved by the present invention is: to overcome the deficiencies of the prior art, to propose a remote sensing image color correction method and system based on cloud pickling film and MSR, aiming at the characteristics of remote sensing images, using cloud pickling film to improve the MSR method, effectively solving the problem of The contrast of the color correction result of the original MSR method is not high, and the problem of cloud color cast will appear when processing cloudy images

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
  • Remote sensing image color correction method and system based on cloud mask and MSR
  • Remote sensing image color correction method and system based on cloud mask and MSR

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0080] The implementation flow chart of the present invention is as figure 1 shown. The color correction method of remote sensing images based on multi-scale Retinex includes the following steps:

[0081] Step 1: Reconstruct the remote sensing image by using the cloud salt film, and generate the reconstructed remote sensing image. Specifically:

[0082] (1.1) Utilize the cloud salt film to calculate the pixel mean value of the cloud-free coverage area in sub-bands;

[0083] (1.2) Use the pixel mean value of the cloud-free coverage area in each band to replace the pixel value of the cloud coverage area in the image, complete the reconstruction of the remote sensing image, and generate the reconstructed result.

[0084] Step 2: Perform MSR processing on the reconstructed result generated in step (1) to generate a result after MSR processing. Specifically:

[0085] (2.1) The number of scales in the present invention is 3, and Gaussian blur is carried out to the remote sensin...

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 remote sensing image color correction method and system based on a cloud mask and an MSR, and the method comprises the steps: 1, reconstructing a remote sensing image through the cloud mask; 2, processing the remote sensing image by using an MSR method; 3, calculating a Dynamic value; and 4, performing maximum value and minimum value stretching to generate a color correction result. The defects in the prior art are overcome; the problems of color cast, insufficient color contrast, overexposure caused by common correction and the like of the remote sensing image are well solved; the method is high in automation degree, method universality degree and color rendition degree, the artificial color correction processing cost can be greatly reduced, and the method can be applied to color correction of a large number of remote sensing images and has wide application prospects and value.

Description

technical field [0001] The invention belongs to the technical field of intersecting remote sensing and computer processing, and relates to a remote sensing image color correction method and system based on cloud pickling film and MSR. Background technique [0002] Remote sensing technology emerged in the 1960s. At present, remote sensing technology has been widely used in meteorology, ocean, agriculture, land, water conservancy, surveying and mapping, environmental protection and other industries. Compared with traditional monitoring methods, remote sensing technology has many unique advantages such as timeliness, extensiveness, objectivity, and economy. [0003] my country's remote sensing satellite technology started relatively late. The first remote sensing satellite launched in 1975 preliminarily solved the problem of the urgent need for satellite remote sensing sources for national surveys; however, my country's remote sensing satellite technology has developed rapidly....

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 Applications(China)
IPC IPC(8): G06T5/00
CPCG06T2207/10041G06T5/80Y02A90/10
Inventor 贾祎琳齐建超王海波尤江彬雷玉飞王巍霖
Owner CHINA SURVEY SURVEYING & MAPPING TECH
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