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Method and system for dense matching of video satellite images based on optical flow model

A satellite image and dense matching technology, applied in the field of video satellite image dense matching method and system, can solve the problems of difficulty of robust dense matching method, loss of target information, and performance indicators to be improved, etc.

Active Publication Date: 2019-09-10
WUHAN UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

Dense matching technology using video satellite images is a high-tech technology that requires high precision and real-time performance. Although people have achieved good results in its research, many performance indicators still need to be improved.
Projecting from 3D world space to 2D image space will cause loss of target information when the natural scene is constantly changing, so it is very difficult to design a robust dense matching method

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  • Method and system for dense matching of video satellite images based on optical flow model
  • Method and system for dense matching of video satellite images based on optical flow model
  • Method and system for dense matching of video satellite images based on optical flow model

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specific Embodiment approach

[0074] Further illustrate the specific embodiment of the present invention below in conjunction with accompanying drawing, steps are as follows:

[0075] Step 1, use the SGM matching method to roughly match the video satellite images.

[0076] SGM (semi-global matching) is an image matching method produced in the field of computer vision. It uses mutual information to describe the complex correspondence between the same-named pixels to achieve image matching. The basic idea of ​​SGM image matching is: first, perform pixel-by-pixel disparity calculation based on mutual information; then, approximate two-dimensional constraints with one-dimensional constraints in multiple directions.

[0077] This step further includes:

[0078] In step 1.1, the parallax image is obtained by calculating the pixel-by-pixel parallax of the video satellite image.

[0079] The disparity function d(p i ,p′ i , I L , I R ) is defined as follows:

[0080]

[0081] The disparity function repre...

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Abstract

The invention discloses a dense video satellite image matching method and system based on an optical flow model, comprising: Step 1, using the SGM matching method to perform rough matching on the video satellite image; Step 2, using the PMVS matching method to perform fine matching on the video satellite image Matching; step 3, using the optical flow method to refine the matching result of step 2. The present invention combines the two dense matching methods of SGM and PMVS, selects the rough matching of the SGM method, and then performs the fine matching of the PMVS algorithm to maximize the advantages of the two , to improve the processing capability of image data from two aspects of accuracy and efficiency.

Description

technical field [0001] The invention relates to image dense matching technology, in particular to a video satellite image dense matching method and system based on an optical flow model. Background technique [0002] After more than 30 years of development, my country's aerospace technology has made great progress, and a system of earth observation remote sensing satellites consisting of resources, meteorology, ocean, environment, and national defense series has been formed. Especially under the impetus of the "High-resolution Earth Observation System" national science and technology major project construction, through innovations in platform sensor development, multi-satellite networking, ground data processing, etc., the spatial resolution and time resolution of my country's remote sensing satellites The rate and data quality have been greatly improved, providing information services and decision support for my country's modern agriculture, disaster prevention and reduction...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/46
CPCG06V20/40G06V10/443
Inventor 张过汪韬阳蒋永华江万寿蒋博洋
Owner WUHAN UNIV