Multi-characteristic multi-level visible light full-color and multi-spectrum high-precision registering method

A visible light, multi-spectral image technology, applied in image data processing, instruments, calculations, etc., can solve the problems of slow processing speed, inability to complete large-scale images, registration, etc., to achieve good economic benefits, promote wide application, good generalization The effect of functionality and practicality

Inactive Publication Date: 2012-11-28
INST OF AUTOMATION CHINESE ACAD OF SCI +1
View PDF2 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, for large-scale remote sensing images, the processing speed of existing software is very slow; even the registration of large-scale images cannot be completed due to memory problems

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
  • Multi-characteristic multi-level visible light full-color and multi-spectrum high-precision registering method
  • Multi-characteristic multi-level visible light full-color and multi-spectrum high-precision registering method
  • Multi-characteristic multi-level visible light full-color and multi-spectrum high-precision registering method

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach

[0025] According to a specific implementation manner of the present invention, the multi-scale decomposition in this embodiment is realized by down-sampling. Although multi-scale decomposition can be realized by wavelet pyramid, Gaussian pyramid and other methods, the calculation amount is much larger than that of downsampling; and in the fine registration stage, SIFT (Scale Invariant Feature Transform) features must be extracted from the original image. Therefore, the multi-scale decomposition method based on downsampling can greatly reduce the amount of computation while maintaining the registration accuracy.

[0026] Step S2: rough registration. Extracting and matching SIFT features and removing outliers on the low-resolution image pair, using the matched SIFT feature pair and iterative reweighted least squares method to obtain an initial transformation model;

[0027] According to a specific embodiment of the present invention, the nearest neighbor method is used to match...

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 visible light full-color image and multi-spectrum image registering method which comprises the following steps of: performing multi-scale decomposition of the full-color image and multi-spectrum image to generate low-resolution full-color image and multi-spectrum image; extracting and matching SIFT characteristics from the low-resolution images and removing the exterior points; obtaining an initial transformation model by use of the matched SIFT characteristic pair and the iteration re-weighting least square method; performing SIFT characteristic extraction and matching as well as exterior point removal based on image block pairs on the original image by use of the geometric constraint provided by the initial transformation model, and selecting the optimal transformation type from all SIFT characteristic pair sets and obtaining the transformation parameter by use of the iteration re-weighting least square method; and transforming the multi-spectrum image according to the transformation model to obtain the transformed multi-spectrum image.

Description

technical field [0001] The invention relates to a registration method for visible light panchromatic and multi-spectral images, in particular to a registration method for remote sensing images acquired by aerospace and aviation sensor platforms. Background technique [0002] Relying solely on high-spatial-resolution panchromatic images or low-spatial-resolution multispectral images cannot obtain comprehensive and real information about targets. It is necessary to provide detailed information and color features at the same time, so that the human eye can accurately judge the targets contained in remote sensing images. However, due to hardware constraints, it is impossible to simultaneously acquire multispectral images with high spatial resolution. For this reason, general satellites take high spatial resolution panchromatic images and low spatial resolution multispectral images simultaneously. Using registration and fusion technology, spatial resolution panchromatic images a...

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): G06T7/00
Inventor 霍春雷江碧涛潘春洪樊彬张秀玲杜鹃
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap