Presentation + Paper
18 September 2018 Quantum remote sensing theory and practice
Author Affiliations +
Abstract
Based on the development and application needs, Professor Siwen Bi has proposed quantum remote sensing (QRS) in the early 2001. Firstly, the paper introduces the background, concept and research status at home and abroad of quantum remote sensing, it also introduces the differences and advantages of quantum remote sensing compared with the classical remote sensing. Then it elaborates wave-particle duality, Superposition State, Tunneling Effect of QRS research basis and quantum entanglement, its basic theory and information mechanism, as well as the research progress of QRS imaging processing, quantum spectrum remote sensing and QRS calibration. Besides, it emphasizes the experimental process of QRS imaging and the production of principle prototype, based on which, Professor Bi proposed active imaging information transmission technology of satellite borne QRS technical solutions and conducted research on its system composition and working principle, squeezing light preparation of active imaging, injection device and quantum non-noise amplifier device, providing solutions and technical basis for realizing active imaging technology of satellite-borne QRS. The QRS imaging technology can significantly improve the signal-to-noise ratio and space resolution of QRS imaging information transmission. Finally, the paper summarizes the research conditions over the past eighteen years and plan for the future.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Siwen Bi "Quantum remote sensing theory and practice", Proc. SPIE 10765, Infrared Remote Sensing and Instrumentation XXVI, 1076505 (18 September 2018); https://doi.org/10.1117/12.2318263
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Remote sensing

Imaging systems

Quantum physics

Quantum information

Image processing

Prototyping

Signal to noise ratio

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