ing at the fact that the pose parameter measurement of moving targets in a large field of view is susceptible to factors such as model cumulative error, imaging distortion and insufficient feature information, a new vision measurement method is proposed. First, an efficient multi-source feature data fusion model is established, and it suitable for the visual measurement process, which can solve the problem of single feature point. Then, a bidirectional closed measurement mode based on feature point cloud information is build, which changes the one-way transfer process from image data to spatial feature information in the traditional method, and returns the confirmed spatial data as control information to the measurement process, which can effectively avoid the larger the measurement space, the larger the cumulative error of the measurement model. Finally, the experimental results show that the proposed method achieves a target attitude measurement accuracy better than ±1.5° in a large field of view space of 10 m×8 m×3 m, and the position accuracy is better than 2 mm. The obtained measurement results verify that the target pose parameters obtained by the bidirectional closed cloud control measurement mode have high accuracy and strong stability, and can meet the actual engineering application requirements.
.ing at the integrated interferometer components with glued grating, this paper proposes a system-level flat-field correction method based on high frequency heterodyne interference modulation data formed by flat-field correction filter. A calculation method for the frequency range of heterodyne interference required for the flat-field correction (i.e., the spectrum range of flat-field correction filter) is given based on the principle of interference modulation of spatial heterodyne spectroscopy. The main technical specifications of the flat-field correction filter are determined by theoretical and numerical analyses, and are subsequently verified by experiments. The experimental results show that the average signal-to-noise ratio of the recovery spectrum is increased by 115.7%, and the suppression of fixed frequency noise and high-frequency spectrum distortion are particularly notable.
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