Ghost imaging for detecting trembling with random temporal changing

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Abstract
The imaging environment can be destabilized for moving objects and imaging platforms, thus leading the detection to be random trembling, which is detrimental to object reconstruction. In this Letter, we experimentally investigate ghost imaging for detecting trembling with random temporal changing, and an improvement method based on the temporal property of the imaging process is proposed. It is demonstrated that this method is effective in addressing image degradation due to the trembling disturbance and obtaining a higher-quality image of the object. The results provide a promising approach to deal with image degradation caused by an unstable environment and can find potential applications for ghost imaging in remote sensing.
Funding Information
  • National Natural Science Foundation of China (61571183, 61971184)
  • China Postdoctoral Science Foundation (2019M662767)

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