Data recovery method based on optical fiber field-of-view synthetic spectrum imager

Abstract

The invention provides a data recovery method based on an optical fiber field-of-view synthetic spectrum imager. Firstly, the distribution condition of optical fiber surface ends is obtained through an image processing method, odd optical filters and even optical filters which are distributed same as the optical fiber surface ends are obtained by adopting an optical filter etching method; then, auniform light source, the odd optical filters and the even optical filters are used for obtaining detector data not interfered by adjacent optical fiber radiation, and the data is used for solving theenergy distribution of the optical fibers on each detector; finally, an imaging equation of an optical fiber input signal and a detector output signal is established by using an imaging relationshipof the field-of-view synthetic optical fiber spectrum imager, it is achieved that the detectors output recovery optical fiber input by solving the equation, and then two-dimensional space and one-dimensional spectral information are reconstructed through optical fiber input radiation signals.

Description

technical field [0001] The invention relates to a data restoration method based on an optical fiber visual field synthesis spectrum imager. Background technique [0002] Spectral imaging data contains two-dimensional spatial information and one-dimensional spectral information. Due to the two-dimensional spatial characteristics of the detector, traditional spectral imagers can only acquire two-dimensional data at the same time. In order to obtain complete three-dimensional data, it generally takes a certain amount of time to accumulate . This makes transient phenomena impossible to observe using conventional spectral imaging techniques. [0003] With the development of spectral imaging technology and the expansion of spectral application range, the characteristic measurement, target recognition and tracking of moving targets have become important applications of spectral imaging technology. In order to meet this demand, various video spectral imaging technologies suitable ...

AI Technical Summary

Problems solved by technology

However, in reality, due to the manufacturing process of the optical fiber image transmission bundle, there is a certain error in the distance between the optical fiber end and the angle, which makes the correspondence between the optical fiber and the detector random, and ultimately leads to a low accuracy of the restored data cube.

Images