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Method for matching remote sensing image and reference image based on global geometric constraint

A technology of remote sensing images and reference images, which is applied in image enhancement, image analysis, image data processing, etc., and can solve problems such as not improving matching accuracy

Active Publication Date: 2018-11-16
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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Problems solved by technology

When the resolution of the reference image is high and the image quality is good, the matching accuracy between the remote sensing image and the reference image can often achieve high accuracy. At this time, the accuracy under the internal consistency constraint of the geometric model is lower than the matching accuracy between images. Geometry model global constraints do not improve matching accuracy

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  • Method for matching remote sensing image and reference image based on global geometric constraint
  • Method for matching remote sensing image and reference image based on global geometric constraint
  • Method for matching remote sensing image and reference image based on global geometric constraint

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[0091] The present invention will be described in detail below in conjunction with the accompanying drawings. However, it should be understood that the accompanying drawings are provided only for better understanding of the present invention, and they should not be construed as limiting the present invention.

[0092] Such as figure 1 As shown, the matching method of remote sensing images and reference images based on global geometric constraints provided by the present invention includes the following steps:

[0093] 1. Construct the imaging geometric model of remote sensing images. Currently, the commonly used imaging geometric models of planetary remote sensing images are mainly divided into strict imaging geometric models and general imaging geometric models.

[0094] Strict imaging geometric model is a mathematical model with strict theoretical basis. It is mainly based on collinear equations, which can accurately express the strict geometric relationship between image c...

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Abstract

The invention relates to a method for matching a remote sensing image and a reference image based on a global geometric constraint. The method is characterized in that the method comprises a step of constructing a geometric model of remote sensing image imaging, a step of reading reference image data and a remote sensing image to be matched and preprocessing the reference image data to obtain thereference image, a step of preprocessing the remote sensing image to be matched, a step of carrying out affine-scale invariant feature transformation matching on the reference image and a remote sensing image to be registered, extracting a feature point and obtaining an initial value of the least squares matching, and a step of carrying out least squares matching through a global constraint leastsquares matching model based on the initial value of the least squares matching and outputting radiation deformation parameters and geometric deformation parameters of the remote sensing image to be registered.

Description

technical field [0001] The invention relates to a matching method of a remote sensing image and a reference image based on global geometric constraints, and relates to the technical field of photogrammetry and remote sensing image processing. Background technique [0002] In aerospace and deep space photogrammetry, using remote sensing images for geometric positioning often requires correction of images to a unified benchmark. In the correction of remote sensing images, it is necessary to establish a geometric model, that is, to construct the relationship between the image coordinates and the reference coordinate system. The geometric model can be obtained from the orbit, attitude and other measurement and control parameters when the remote sensing image is acquired, and it can also be obtained by fitting the corresponding relationship established between the image and the reference data. Due to systematic errors and random errors of various measurements, such as satellite ...

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Application Information

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IPC IPC(8): G06T7/33
CPCG06T7/33G06T2207/30181
Inventor 邸凯昌辛鑫刘斌祝小勇唐新明
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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