Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Steady automatic matching method for high-resolution satellite image connecting points

A high-resolution, satellite image technology, applied in the field of surveying and mapping science, can solve the problems of many wrong matching points, time-consuming and labor-intensive problems, achieve high matching success rate, reduce workload, and reduce manual workload.

Active Publication Date: 2010-12-15
CCCC SECOND HIGHWAY CONSULTANTS CO LTD
View PDF2 Cites 49 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0013] The present invention aims at the shortcomings of many wrong matching points in the process of automatic matching of connection points between images of high-resolution satellite remote sensing images, and the time-consuming and laborious manual elimination of wrong matching points, etc., and proposes a robust and reliable high-resolution satellite connection point The automatic matching method can automatically find and eliminate wrong matching points during the matching process, realize automatic, reliable and accurate matching of connection points, greatly improve the automation of satellite image aerial triangulation, and greatly reduce the manual workload

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
  • Steady automatic matching method for high-resolution satellite image connecting points
  • Steady automatic matching method for high-resolution satellite image connecting points
  • Steady automatic matching method for high-resolution satellite image connecting points

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] A robust automatic matching method for high-resolution satellite image tie points, the flow chart of which is shown in figure 1 As shown, each step is described in detail as follows:

[0029] The first step, data preprocessing for high-resolution satellite image matching 1

[0030] Data preprocessing for high-resolution satellite image matching mainly includes: Wallis filter image enhancement, pyramid image generation, feature point extraction and determination of each image to be matched.

[0031] Specific steps are as follows:

[0032] 1 Wallis filter image enhancement: Using the Wallis transform technology commonly used in the field of image processing, Wallis filter is automatically performed on all images to enhance the characteristics and contrast of the image and reduce the difference in gray level between images.

[0033] 2 Pyramid image generation: use the practical and simple 3×3 pixel averaging method to generate 4-level pyramid images from all images in th...

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 discloses a steady automatic matching method for high-resolution satellite image connecting points. The method comprises the following steps of: A, performing automatic enhancement by using Wallis filter technology, generating pyramid images of each layer and extracting the images by using feature extraction operators; B, forecasting an initial point position of identical points by using satellite image orientation parameters and upper pyramid matching results of characteristic points, establishing an epipolar geometric constraint equation, and performing geometric coarse correction on matched window images; C, removing error matched points in the matching result of the pyramid images of each layer by using an RFM model-based block adjustment method; and D, repeating the steps B, C and D till the primary image layer, and finally refining the matching result by using a double-sheet least square matching method. The method can greatly reduce the artificial editing workload of connecting point measurement and improve the automation degree of satellite image data processing by combining block adjustment and satellite image matching, and has remarkable economic benefit and social benefit.

Description

technical field [0001] The invention belongs to the field of surveying and mapping science and technology, and more specifically relates to a robust automatic matching method for connection points of high-resolution satellite images. , to achieve automatic and reliable tie-point matching in high-resolution satellite imagery. technical background [0002] With the rapid development of earth observation technology, satellites with a resolution of less than 1m continue to emerge, such as the United States QuickBird (0.61m), WorldView-1 / 2 (0.5m), Geoeye (0.5m), etc., marking the high precision of surface information Get up from an aerial survey platform to an aeronautical survey platform. Using high-resolution satellite images, only a small number of ground control points are needed to obtain large-scale basic geographic information in a large area. High-resolution satellite images have been widely used in terrain surveying and mapping, resource investigation, disaster assessme...

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): G01S7/48G01S17/89
Inventor 明洋陈楚江余绍淮张霄王丽园吴颖丹
Owner CCCC SECOND HIGHWAY CONSULTANTS CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
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