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Super-resolution image reconstruction method for geostationary orbit satellite attitude under-sampling measurement

A technology for geostationary orbit satellites and low-resolution images, which is applied in image enhancement, image data processing, graphics and image conversion, etc., and can solve problems such as long acquisition time intervals and inability to use processing methods for super-resolution reconstruction

Active Publication Date: 2017-09-15
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the acquisition time interval of the attitude measurement information of geostationary orbit satellites is much longer than the shooting time interval, and it is under-sampled relative to the frame rate of the output image, so it is impossible to use the traditional aerial camera processing method for super-resolution reconstruction

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  • Super-resolution image reconstruction method for geostationary orbit satellite attitude under-sampling measurement
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  • Super-resolution image reconstruction method for geostationary orbit satellite attitude under-sampling measurement

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Embodiment 1

[0062] This embodiment provides a method for super-resolution image reconstruction under under-sampling measurement of the attitude of a synchronous orbiting satellite, which includes the steps:

[0063] Step 101: Read the time-undersampled low-resolution sequence image I L1 ; Because the frequency of the attitude measurement information obtained by the geostationary orbit satellite is lower than the frequency of the camera image, it is impossible to estimate the two adjacent images according to the imaging formula established by the satellite attitude measurement information while acquiring each low-resolution image The relative displacement between the two, which also seriously affects the effect of the subsequent super-resolution reconstruction algorithm. Therefore, first establish a relative motion model for low-resolution sequence images.

[0064] Step 102: Since the deviation of the sequence image relative to the reference image is caused by the attitude stability of the geos...

Embodiment 2

[0110] Such as figure 2 As shown, the specific implementation method of the present invention is as follows:

[0111] (1) First read the time-undersampled low-resolution sequence image I L1 ;

[0112] (2) The satellite attitude change is a two-dimensional change. Because the camera and the star are considered as a complete rigid body in this patent, only the low-frequency information of its vibration is considered. First, a low-order model that can reflect its movement changes is established according to the following formula , Get the complete image sequence I caused by the basic satellite attitude change L2rough ,

[0113]

[0114] X(t) refers to the displacement of the image in the x direction over time, A refers to the amplitude of the image in the x direction, ω x Refers to the vibration frequency of the image in the x direction, Refers to the phase of the image in the x direction, Y(t) refers to the displacement of the image in the y direction over time, B refers to the ampl...

Embodiment 3

[0153] On the basis of Embodiment 1 and Embodiment 2, this embodiment is an application embodiment.

[0154] Knowing that a certain camera takes images at 0s, 5s, 10s, 25s, and 35s, a low-order model reflecting the vibration changes is established according to the displacement relationship between the captured images as the next state transition matrix, as follows,

[0155]

[0156] According to Kalman two-dimensional filtering, the final image sequence change model is obtained:

[0157] x t +0.5281x t-1 -0.8861x t-2 -0.01886x t-3 +0.8568x t-4 +0.2776x t-5

[0158] =ε t +0.299ε t-1 -1.117ε t-2 +0.2802ε t-3 +0.9399ε t-4

[0159] y t +0.2337y t-1 -1.114y t-2 -0.9148y t-3 +0.01707y t-4 +0.7262y t-5 +0.1876y t-6

[0160] =ε t +0.2459ε t-1 -1.322ε t-2 -1.096ε t-3 -0.5922ε t-4 +0.9435ε t-5 +0.5864ε t-6

[0161] +0.4674ε t-7 -0.1208ε t-8 -0.6214ε t-9

[0162] According to the above two formulas, the image data of 0s, 5s, 10s, 15s, 20s, 25s, 30s, 35s are obtained, and then these images are registe...

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Abstract

The present application discloses a method for super-resolution image reconstruction under the under-sampling measurement of geostationary orbit satellite attitude, including the steps of: reading the low-resolution sequence image IL1 of geosynchronous orbit satellite time under-sampling; using the existing low-resolution image The IL1 sequence is modeled to obtain a model equation that conforms to its basic change law, and the obtained model equation is used to derive the Kalman filter state equation and measurement equation, and predict according to the discrete Kalman filter basic equation to obtain a synchronous orbit with sufficient time information The low-resolution image sequence IL2 of satellite attitude changes; the Taylor series method is used to perform image registration on the motion estimation results of the low-resolution image sequence IL2; Perform spatial super-resolution reconstruction. The invention reconstructs a super-resolution high-definition image by using a low-resolution image sequence under the constraint of under-sampling measurement information, and solves the influence of under-sampling of attitude measurement information.

Description

Technical field [0001] The invention relates to a method for multi-picture super-resolution image reconstruction technology under the condition of under-sampling of satellite-borne frame camera attitude measurement information, which is suitable for the remote sensing application field of improving spatial remote sensing imaging resolution and image quality, and is particularly suitable In the gaze imaging mode of a geosynchronous orbit satellite, when the update rate of the acquired attitude measurement information is lower than the camera output frame rate, the low-resolution image sequence constrained by the under-sampling measurement information is used to reconstruct super-resolution HD Image, specifically, relates to a method for super-resolution image reconstruction under under-sampling measurement of the attitude of a geosynchronous orbiting satellite. Background technique [0002] The frame-type camera mounted on the geosynchronous orbit satellite adopts the observation ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/50G06T3/40
Inventor 高昆韩璐杨桦朱振宇卢岩
Owner BEIJING INSTITUTE OF TECHNOLOGYGY