Ghost Imaging for Moving Targets and Its Application in Remote Sensing

Cong, 张聪 Zhang; Wenlin, 龚文林 Gong; Shensheng, 韩申生 Han

doi:10.3788/cjl201239.1214003

Cited by 6 publications

(5 citation statements)

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“…However, the relative motion between the radar system and the target will lead to poor correlation between the reference arm speckle and the bucket detection observations, and make the imaging quality deteriorate or even unimaginable. Common solutions include fast sampling with increased frame rate and the reference arm speckles motion compensation schemes [6] . The former of which is very demanding in terms of hardware requirements and therefore more research has been conducted based on the latter.…”

Section: Introductionmentioning

confidence: 99%

Positioning and imaging methods for moving target ghost imaging LIDAR based on correlation intensity weighting

Wang

Chen

et al. 2023

Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT2022)

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Ghost imaging LIDAR is a new system of gaze imaging radar with high detection sensitivity, super-resolution and better anti-interference performance, but the relative motion between the radar system and the target will make the imaging degenerate. This paper proposes a single-target localization in the field of view by weighting the correlation intensity of rough target images. In a simple background environment, the absolute coordinates of the low-velocity small-size target in the field of view can be obtained. And the reference arm speckles will be compensated in the opposite direction by the translation according to the trajectory obtained by the positioning. An accurate image will be obtained by superimposing many rough images eventually. The proposed correlation intensity weighted positioning, tracking and imaging method has been verified by simulation to be able to locate and image targets in the field of view well.

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Section: Introductionmentioning

confidence: 99%

Positioning and imaging methods for moving target ghost imaging LIDAR based on correlation intensity weighting

Wang

Chen

et al. 2023

Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT2022)

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“…If the velocity and direction of the moving object are known, the correlation between the detected signal and the illumination pattern can be restored by means of synchronous tracking and compensation of illumination pattern to improve the imaging resolution [13,14] . Accordingly, many scholars have studied different methods to acquire and compensate for motion information when the object is moving at an unknown speed (translation or rotation) in order to improve the quality of image reconstruction.…”

Section: Introductionmentioning

confidence: 99%

Motion-corrected Fourier ghost imaging based on phase compensation

Chen

Zheng

Liu

et al. 2023

Ninth Symposium on Novel Photoelectronic Detection Technology and Applications

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The image quality of traditional computed ghost imaging is largely affected by the motion state of the target. When the target moves more than one pixel in the adjacent sampling interval, the image quality will decrease rapidly. Especially when the motion status of the target is unknown, high quality imaging will become difficult. To overcome the problem, we propose a simple and reliable method of imaging the moving target based on the reconstruction of Fourier Ghost Imaging (FGI) and phase compensation. The method uses the Fourier positioning patterns to estimate the displacement trajectory of the object followed by phase compensation of the spectrum. It combines the conjugate symmetry and sparsity properties of the Fourier spectrum to directly reconstruct the reasonable image of a moving object at low sampling rates, which saves time and computation. Simulation results show that the method does not require excessive priori knowledge and can achieve imaging of an object in different states of motion.

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“…Due to the novel physical peculiarities of ghost imaging, more and more attention has been paid to its potential applications in practice [14][15][16][17]. Based on translation compensation, Zhang and Han studied ghost imaging with moving targets and its application in remote sensing [18]. Very recently, Yu et al experimentally realized Fourier transform ghost imaging with pseudo-thermal hard x-rays [19].…”

Section: Introductionmentioning

confidence: 99%

Effects of incident angles on reflective ghost imaging through atmospheric turbulence

et al. 2017

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The influence of the incident angle on the imaging quality of reflective ghost imaging is investigated through atmospheric turbulence. It is shown that under mediate turbulence, small angles have almost no effect on the imaging quality, while the result for direct imaging gets slightly worse. An increase of the incident angle leads to the degradation of the imaging quality of direct imaging and ghost imaging, while the imaging quality of the latter is better under the same angle and turbulent intensity. For large angles, the image from direct imaging cannot be distinguished under mediate turbulence, but ghost imaging can obtain a relatively good ghost image. Moreover, the relationship between the fidelity and the incident angle under different turbulent intensities is presented.

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Ghost Imaging for Moving Targets and Its Application in Remote Sensing

Cited by 6 publications

References 0 publications

Positioning and imaging methods for moving target ghost imaging LIDAR based on correlation intensity weighting

Positioning and imaging methods for moving target ghost imaging LIDAR based on correlation intensity weighting

Motion-corrected Fourier ghost imaging based on phase compensation

Effects of incident angles on reflective ghost imaging through atmospheric turbulence

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