Satellite multispectral image registration method based on object space positioning consistency

Abstract

The invention discloses a satellite multispectral image registration method based on object space positioning consistency. The method comprises the following steps: selecting a certain spectrum in a multispectral camera as a reference spectrum, taking the residual spectrums as non-reference spectrums, respectively performing on-track calibration aiming at the relative geometric distortion between each non-reference spectrum and the reference spectrum, and saving the calibration result; establishing a strict geometric imaging model of each spectrum by utilizing the saved calibration result based on the object space positioning consistency, and performing accurate registration on the non-reference spectrums and the reference spectrum. The invention provides an optical satellite multispectral image high-precision automatic registration method of really geometrical significance, the satellite multispectral image can be subjected to high-precision automatic registration without carrying out image matching, the processing efficiency is improved, and the registration quality is irrelevant to the image quality and ground feature types; and meanwhile, a geometric correction model between wave bands is the strict geometric imaging model and has strictness in theory. The practice proves that the method is feasible, effective, stable in registration quality and high in precision.

Description

technical field [0001] The invention belongs to the field of geometric processing of remote sensing images, and relates to a satellite multispectral image registration method based on the consistency of object positioning. Background technique [0002] Because multispectral cameras can acquire images of multiple bands, through subsequent processing such as registration and fusion, they can generate various thematic image products, which greatly enriches image information and improves the application potential of image data. It has become the current remote sensing satellite An important imaging payload carried. The registration of images in various bands is an important part of multispectral image processing, and the registration efficiency, accuracy and reliability directly affect the quality of its subsequent processing and application. [0003] At present, a lot of research and practical work have been carried out on the satellite multispectral image registration method ...

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Problems solved by technology

[0003] At present, a lot of research and practical work have been carried out on the satellite multispectral image registration method based on image matching. The dependence of this kind of method on the quality of matching makes its applicability limited. The registration quality of this method is difficult to guarantee; in addition, image matching must be performed before each image registration using this method, and the registration efficiency is greatly reduced, which seriously affects subsequent processing and application.

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