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A Satellite Flutter Detection and Compensation Method Based on Panchromatic Image

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: 2016-08-24
TONGJI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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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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  • A Satellite Flutter Detection and Compensation Method Based on Panchromatic Image
  • A Satellite Flutter Detection and Compensation Method Based on Panchromatic Image
  • A Satellite Flutter Detection and Compensation Method Based on Panchromatic Image

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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 by including the following steps:

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

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

[0059] 3) Use the point result of the same name obtained in step 2) as the initial value, and use the least squares matching method to finely match all points;

[0060] 4) After the matching is completed, the gross error points are eliminated according to the correlation coefficient threshold of the points and the residual error of the intersection in front of the same image point;

[0061] 5) The front-view image and the down-view image, the...

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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 satellite flutter detection and compensation method based on panchromatic images. Background technique [0002] During the operation of high-resolution satellites, the turbulence caused by the periodic motion of the rotating parts on the satellite, orbit change, and the alternation of cold and heat will cause the stellar body to produce a small amplitude and periodic flutter response. NASA conducted an in-depth study of HST's reaction wheel disturbance images in the 1980s. In 1990, Eyeman and Shea conducted a summary analysis of the satellite's flutter and vibration mechanics environment, and believed that the biggest flutter sources were reaction wheels and thermal tremor. Iwasaki et al. analyzed the flutter response of the ASTER satellite using the registration between the multispectral image bands of the ASTER satellite. Lehner et al. combined with ground ...

Claims

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Application Information

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Patent Type & Authority Patents(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