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Super-resolution image reconstruction method under synchronous orbit satellite attitude undersampling 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: 2015-12-23
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

Method used

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  • Super-resolution image reconstruction method under synchronous orbit satellite attitude undersampling measurement
  • Super-resolution image reconstruction method under synchronous orbit satellite attitude undersampling measurement
  • Super-resolution image reconstruction method under synchronous orbit satellite attitude undersampling measurement

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Effect test

Embodiment 1

[0057] This embodiment provides a method for super-resolution image reconstruction under geostationary satellite attitude under-sampling measurement, including steps:

[0058] Step 101: Read temporally undersampled low-resolution image sequence I L1 ; Since the frequency of attitude measurement information acquired by geostationary orbit satellites is lower than the frequency of images taken by cameras, it is impossible to estimate two adjacent images based on the imaging formula established by the satellite attitude measurement information while acquiring each low-resolution image The relative displacement between them also seriously affects the effect of the subsequent super-resolution reconstruction algorithm. Therefore, a relative motion model is first established for low-resolution sequence images.

[0059] Step 102: Since the offset of the sequence image relative to the reference image is caused by the attitude stability of the satellite in geosynchronous orbit, the off...

Embodiment 2

[0100] Such as figure 2 Shown, the concrete implementation method of the present invention is as follows:

[0101] (1) First read the time-undersampled low-resolution sequence image I L1 ;

[0102] (2) The attitude change of the satellite 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 motion change is established according to the following formula , to obtain the complete image sequence I caused by the basic satellite attitude change L2rough ,

[0103]

[0104] 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,...

Embodiment 3

[0137] On the basis of Embodiment 1 and Embodiment 2, this embodiment is an application embodiment.

[0138] It is known that a camera captures images at 0s, 5s, 10s, 25s, and 35s. According to the displacement relationship between the captured images, a low-order model reflecting its vibration changes is established as the state transition matrix in the next step, as follows,

[0139] X ( t ) = 5 sin ( 2 t + 3 ) Y ( t ) = 7 s i n ( 2 t + ...

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Abstract

The invention discloses a super-resolution image reconstruction method under synchronous orbit satellite attitude undersampling measurement. The method comprises the following steps: reading time-undersampling low-resolution sequence image IL1 of a synchronous orbit satellite; carrying out modeling by utilizing the existing low-resolution sequence image IL1 to obtain a model equation according with basic change rules thereof; deducing a Kalman filtering state equation and a measurement equation through the obtained model equation; carrying out predication according to a discrete Kalman filter basic equation to obtain a full-time-information synchronous orbit satellite attitude change low-resolution image sequence IL2; carrying image registration on motion estimation result of the low-resolution image sequence IL2 by adopting a Taylor series method; and carrying out airspace super-resolution reestablishment on the low-resolution image sequence IL2 by utilizing a projection onto convex set (POCS) algorithm marked by time information. The super-resolution high-definition images are reconstructed by utilizing the low-resolution image sequences under undersampling measurement information constraint, and thus the problem of influence of attitude measurement information undersampling is solved.

Description

technical field [0001] The invention relates to a method of multi-picture super-resolution image reconstruction technology based on the under-sampling condition of attitude measurement information of a space-borne frame camera, which is suitable for improving the resolution of space remote sensing imaging and improving the image quality of remote sensing applications, especially suitable for Based on the staring imaging mode of geosynchronous orbit satellites, when the update rate of the acquired attitude measurement information is lower than the output frame rate of the camera, the super-resolution high-resolution image sequence is reconstructed by using the low-resolution image sequence constrained by the under-sampled measurement information. Image, specifically, relates to a method for super-resolution image reconstruction under under-sampled attitude measurement of geostationary orbit satellites. Background technique [0002] The frame camera carried by the geosynchrono...

Claims

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Application Information

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