Remote sensing satellite multispectral image registration method

Abstract

The invention discloses a remote sensing satellite multispectral image registration method. The remote sensing satellite multispectral image registration method comprises the following steps that 1, a rough registration image is obtained according to the distance of a multispectral detector; 2, histogram projection is carried out on an image to be registered on the basis of a reference image; 3, the two images are partitioned in blocks, and for each pair of image blocks, angular points of each pair of image blocks are extracted, and in order to realize registration of a near infrared image, the main direction phase coincidence characteristic of each block is extracted, and a positive and negative sub pixel matching point set of each block is obtained on the basis of phase correlation and surface fitting; 4, triangular grid partition is carried out on the reference image and the image to be registered, a transformation coefficient is worked out, and resampling is carried out on the image to be registered to obtain a registered image. Compared with the prior art, the method solves the problem that as the gray difference of features of different reflectivities on different spectral sections is large, registration is difficult, and also effectively solves the problem that large remote sensing images in different areas distort to different extents.

Description

technical field [0001] The invention relates to a remote sensing satellite multispectral image registration method, which belongs to the technical field of remote sensing image processing, and is particularly suitable for registration of remote sensing satellite multispectral images. Background technique [0002] With the increase of users' demand for remote sensing data and the development of remote sensing technology, multispectral cameras are widely used in remote sensing satellites. The multi-spectral camera has the ability to detect a wide spectrum, usually from the blue spectrum to the near-infrared spectrum, generally including blue, green, red, near-infrared and other spectral bands. For example, the four spectral bands of CBERS-1 are 0.45 -0.52, 0.52-0.59, 0.63-0.69, 0.77-0.89 (unit: μm), the four spectral bands of QuickBird are 0.45-0.52, 0.52-0.60, 0.63-0.69, 0.76-0.90 (unit: μm), SPOT5 The four spectral bands are 0.50-0.59, 0.61-0.68, 0.79-0.89, 1.58-1.70 (unit:...

AI Technical Summary

Problems solved by technology

[0005] The technical problem solved by the present invention is: to overcome the deficiencies of the prior art, to provide a remote sensing satellite multi-spectral image registration method, which is used to solve the large-format image registration between remote sensing satellite multi-spectral spectrum segments, especially to solve the problem of different reflectivity It is difficult to register ground objects due to large grayscale differences between the near-infrared spectrum and the blue, green, and red spectrum images

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