Ms. Yifan He Profile

Yifan He

at Xi'an Jiaotong Univ

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Publications (2)

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Proceedings Article | 31 January 2023 Paper

Influence of the four-quadrant fixed mirror on the temperature and wind velocity inversion for the near-infrared static Mars wind imaging interferometer

Chunmin Zhang, Yujiao Zhang, Yifan He

Proceedings Volume 12505, 125051X (2023) https://doi.org/10.1117/12.2665176

KEYWORDS: Equipment, Wind measurement, Mars, Interferometers

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The operating principle of the static Martian wind imaging Michelson Interferometer (MWIMI) developed by our research group is discussed in this paper, and the errors caused by the core components of the interferometer are analyzed, including the tilt of the quadrangle fixed mirror, surface heterogeneity and reflectivity errors. This work mainly studies the influence of error on the measurement of wind speed and temperature, and the error curve is obtained by computer simulation. The limit of tilt angle, surface accuracy and reflectivity of the four-quadrant fixed mirror can be obtained from this curve. Ultimately, the accuracy of the MWIMI instrument is discussed according to the actual design parameters, which verifies the high measurement accuracy of the instrument. This study lays a theoretical foundation for the design, development and engineering of a new type of wind imaging interferometer, and provides a reference for the study of Mars atmosphere, which is of great significance for the climate change, environmental detection and space exploration of Mars.

Proceedings Article | 15 January 2021 Paper

Polarized image enhancement based on biological vision

Yifan He, Chunmin Zhang, Tingkui Mu

Proceedings Volume 11761, 117610Z (2021) https://doi.org/10.1117/12.2586759

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For passive polarization detection, limited by the scattering medium and the sensitivity of the detector, the detector usually can only receive the polarization information of the weak target. Moreover, nonlinear operators usually amplify the influence of noise in polarization parameter images. These factors result in low SNR of polarization images, which affects the application of polarization technology in different fields. This paper proposes a polarization image layering algorithm based on the principle of biological vision, which uses the statistical characteristics of the angle of polarization (AoP) as the weight parameter to perform contrast enhancement and denoising operations on the degree of polarization (DoP) image. And the final result can be obtained by simple fusion. Experimental results demonstrate that the algorithm is capable of improving the DOP of the target while suppressing background noise, which may provide new ideas for the application of polarized target detection and polarization visualization in interdisciplinary fields.

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