Image rotation and translation measurement based on joint transform correlator

Ge, Peng; Wang, Hong

doi:10.1016/j.ijleo.2015.02.012

Cited by 1 publication

(1 citation statement)

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“…Coupled with the attitude instability of the satellite, these sources cause on-orbit flutter, which covers a wide band of frequency, from extremely low to high frequencies of thousands of Hz [ 5 , 6 , 7 , 8 ]. All of these factors will lead to the jitter of the optical axis of the optical payload and move or rotate the imaging focal plane, thereby reducing the quality of the remote sensing images [ 9 , 10 , 11 , 12 ]. The NASA Goddard Space Center has revealed that the energy of flutter is mainly concentrated in the middle- and low-frequency regions [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Image Motion Measurement and Image Restoration System Based on an Inertial Reference Laser

Ronggang

Wang

Jin

et al. 2021

Sensors

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Satellites have many high-, medium-, and low-frequency micro vibration sources that lead to the optical axis jitter of the optical load and subsequently degrade the remote sensing image quality. To address this problem, this paper developed an image motion detection and restoration method based on an inertial reference laser, and describe edits principle and key components. To verify the feasibility and performance of this method, this paper also built an image motion measurement and restoration system based on an inertial reference laser, which comprised a camera (including the inertial reference laser unit and a Hartmann wavefront sensor), an integrating sphere, a simulated image target, a parallel light pope, a vibration isolation platform, a vibration generator, and a 6 degrees of freedom platform. The image restoration principle was also described. The background noise in the experiment environment was measured, and an image motion measurement accuracy experiment was performed. Verification experiments of image restoration were also conducted under various working conditions. The experiment results showed that the error of image motion detection based on the inertial reference laser was less than 0.12 pixels (root mean square). By using image motion data to improve image quality, the modulation transfer function (MTF) of the restored image was increased to 1.61–1.88 times that of the original image MTF. The image motion data could be used as feedback to the fast steering mirror to compensate for the satellite jitter in real time and to directly obtain high-quality images.

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