Satellite flutter detection and compensation method based on panchromatic images

A technology of full-color image and compensation method, which is applied in image enhancement, image analysis, image data processing, etc., and can solve the problem that ordinary users are difficult to obtain data.

Active Publication Date: 2014-05-07
TONGJI UNIV
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Problems solved by technology

These studies have analyzed satellite flutter from multiple perspectives, but in these analyzes, external DEMs or rigorous models of cameras are used, and these data are difficult for ordinary users to obtain

Method used

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  • Satellite flutter detection and compensation method based on panchromatic images
  • Satellite flutter detection and compensation method based on panchromatic images
  • Satellite flutter detection and compensation method based on panchromatic images

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Embodiment

[0056] Such as figure 1 As shown, a satellite flutter detection and compensation method based on panchromatic images is characterized in that it comprises the following steps:

[0057] 1) The SIFT feature detector matches a small number of uniformly distributed points of the same name, and calculates the compensation parameter correction number X of the image square affine model 1 ;

[0058] 2) Use the cross-correlation method based on geometric constraints to match the points with the same name on the three-view image to obtain more points with the same name;

[0059]3) using the point result of the same name obtained in step 2) as an initial value, and using the least squares matching method to carry out fine matching to all points;

[0060] 4) After the matching is completed, the rough point is eliminated according to the correlation coefficient threshold of the point and the residual error of the front intersection of the same-named image point;

[0061] 5) The front-vi...

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Abstract

The invention relates to a satellite flutter detection and compensation method based on panchromatic images. The satellite flutter detection and compensation method based on the panchromatic images comprises the following steps that (1) an SIFT feature detector carries out matching on a few homonymy points which are evenly distributed, and calculates an image space affine model compensation parameter correction X1; (2) matching of the homonymy points is carried out on three-vision images by using a cross-correlation method based on geometric constraint; (3) fine matching is carried out on all the points by using a least square matching method; (4) gross error points are removed; (5) a stereopair FN is formed by front-vision images and lower-vision images of three-linear-array stereoscopic images, a stereopair BN is formed by rear-vision images and the lower-vision images of the three-linear-array stereoscopic images, error equations are built for the stereopair FN and the stereopair BN respectively, and a sine function model compensation parameter correction X2 is calculated by using a least square method; (6) whether the X2 is larger than a threshold or not is judged; (7) affine model parameters and sine function model parameters are output. Compared with the prior art, the satellite flutter detection and compensation method based on the panchromatic images has the advantage that influence caused by non-linear and periodic platform flutter on image positioning can be effectively eliminated.

Description

technical field [0001] The invention relates to a satellite flutter detection and compensation method, in particular to a panchromatic image-based satellite flutter detection and compensation method. Background technique [0002] During the high-resolution satellite’s in-orbit operation, due to disturbances caused by the periodic motion or orbit change of the rotating parts on the star, the alternation of cold and heat, etc., the star produces a flutter response with a small amplitude and a certain period. In the 1980s, NASA conducted an in-depth study of HST reaction wheel disturbance images. In 1990, Eyerman and Shea conducted a summary analysis of the satellite's flutter dynamic environment, and believed that the largest flutter sources were reaction wheels and thermal tremors. Iwasaki et al. analyzed the flutter response of the ASTER satellite by using the registration between the multispectral image bands of the ASTER satellite. Lehner et al. combined with ground DEM t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/00
Inventor 童小华李凌云刘世杰金雁敏徐聿升叶真洪中华
Owner TONGJI UNIV
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