Programmable polarization hyperspectral imager based on image surface splicing

Abstract

The invention relates to a programmable polarization hyperspectral imager based on image surface splicing. The imager comprises a preset lens, a field stop, a collimator lens, an acousto-optic tunable filter, an imaging lens, an O-light imaging system, an E-light imaging system, a detector and a detector control processing system, wherein the preset lens, the field stop, the collimator lens, the acousto-optic tunable filter and the imaging lens are sequentially arranged on the same optical path; an O-light optical path is provided with the O-light imaging system arranged behind the imaging lens, and an E-light optical path is provided with the E-light imaging system; and the O-light imaging system and the E-light imaging system are spliced and then sequentially connected with the detectorand the detector control processing system. The invention provides the programmable polarization hyperspectral imager based on image surface splicing which can compensate image drift and has the multi-band composite imaging capacity.

Description

technical field [0001] The invention relates to a polarization hyperspectral imager, in particular to a programmable polarization hyperspectral imager based on image plane splicing, capable of simultaneously acquiring orthogonal polarization spectrum image information, and capable of multispectral composite imaging. Background technique [0002] Spectral image information can be used to obtain target material composition, content and other chemical characteristics and spatial distribution information. Therefore, imaging spectroscopy technology has broad application prospects in various fields of national economy and society. First of all, the imaging spectrometer can be used as the payload of the spacecraft, and the spectral information obtained by using it can be applied to the following fields: land resource survey (mineral exploration, urban planning, suburban land classification and utilization, land desertification control and soil erosion monitoring, etc.), forestry (f...

AI Technical Summary

Problems solved by technology

However, the existing technical solutions have the following defects: (1) two detectors are required to obtain the O-ray image and the E-ray image respectively, which undoubtedly complicates the system structure and increases the cost; (2) the image drift caused by AOTF tuning is not compensated, As a result, the signal-to-noise ratio of the restored spectrum deteriorates due to spectral band aliasing; (3) The AOTF drive device uses a DDS chip, which can only work in single-frequency mode, and cannot obtain multi-spectral segment composite images in multi-frequency mode

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