Infrared and visible remote sensing image registration method based on salient region analysis

Abstract

The invention discloses an infrared and visible remote sensing image registration method based on salient region analysis, which can be used for registration of infrared and visible remote sensing images in aerospace and aviation. The method comprises the steps of: acquiring infrared and visible images of the same scale and direction according to longitude and latitude information; extracting salient regions beneficial for feature matching in the infrared images according to the feature consistency principle; extracting SIFT (Scale Invariant Feature Transform) feature points in two images and calculating feature descriptors; and carrying out feature matching according to the similarity, the scale and the distance constraint of the features; carrying out weighting and sequencing of the feature matching results according to salient images; selecting a subset of matching results with translation consistency; calculating the transformation matrix of maximal inner points of the subset according to the selected feature points; and transforming the infrared images into the same coordinate system as the visible images. Based on the method, the influence of wrong matching results on results is restrained, and the problem of infrared and visible image registration caused by different sensor types is solved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an infrared and visible light remote sensing image registration method based on salient area analysis, which can be used for registration of infrared and visible light remote sensing images acquired by aerospace and aviation sensor platforms. Background technique [0002] In recent years, my country's earth observation satellites have developed rapidly, and the number and application fields of satellites have continued to expand. A large amount of observation data has been widely used in various fields of social and economic development, playing an irreplaceable role. The use of multi-source sensors is an important feature of the earth observation system, and infrared and visible light sensors are two important types of multi-source sensors. Since the two sensors have different imaging mechanisms, the acquired images reflect the different characteristics of the observed ...

AI Technical Summary

Problems solved by technology

[0003] The difference in imaging caused by the different imaging mechanisms of infrared and visible light sensors, coupled with the influence of the low resolution of the infrared image itself, has caused great difficulties in registration.

Although some researchers have carried out research on the registration of infrared and visible light in recent years and achieved certain results, there is still a long way to go before it can be put into practical use.

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