Hyperspectral Channel-Modulated Static Birefringent Fourier Transform Imaging Spectropolarimeter with Zoomable Spectral Resolution

Zhang, Xiangzhe; Zhu, Jingping; Huang, Liqing; Zhang, Yu; Wang, Huimin; Li, Haoxiang; Guo, Fengqi; Deng, Jinxin

doi:10.3390/photonics10080950

Cited by 2 publications

(1 citation statement)

References 46 publications

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“…In the imaging optical system of an infrared Fourier imaging spectrometer, stray light will increase the noise that occurs on the image plane, and the stray light convergence point near the image plane will have a particularly serious impact on the imaging performance [25]. For the Michelson interferometer system, because the beam interference occurs inside the system, the quality of the interference effect becomes the main factor that affects the ability to recover the spectrum, and the interference fringe contrast [26] is one of the criteria used to evaluate the quality of the interference effect. When stray light is generated Photonics 2024, 11, 173 6 of 18 in the interference system through reflection processes, the interference phenomenon that occurs will be aliasing; the interference fringe contrast will then be reduced, and this will have a serious impact on the spectrum recovery capability.…”

Section: Harm Caused By Stray Lightmentioning

confidence: 99%

Stray Light Analysis and Suppression for an Infrared Fourier Imaging Spectrometer

Ben,

Shen,

et al. 2024

Photonics

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To improve the accuracy of infrared radiation characteristics measurement in the aviation field, an infrared Fourier transform imaging spectrometer based on a double-swing solid angle reflector was designed. This imaging spectrometer operates in the 3–5 μm wavelength range and has a field of view of 1.7° × 1.7°. This article presents a comprehensive analysis of the system’s stray light and also studies the impact of external stray light on the imaging quality, along with the influence of internal stray light on the interference effects and the spectral resolution. It also present the design of a hood that suppresses the point source transmittance of the external stray light down to the order of 10−4. Based on this, we propose a method that incorporates the introduction of wedge and inclination angles. Additionally, a numerical range is provided for the addition of these angles on the beam splitter mirror and compensation plate. This ensures the effective suppression of any internal stray light. This study fills the gap in the knowledge about Fourier transform imaging spectrometers operating in the mid-infrared band for aviation applications, and proposes a suppression method suitable for interference systems, which is also suitable for Fourier transform imaging spectrometers based on other types of interferometers. This study broadens the application field of Fourier transform imaging spectrometers in stray light, and has great significance to promote the development of Fourier transform imaging spectrometer.

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Section: Harm Caused By Stray Lightmentioning

confidence: 99%

Stray Light Analysis and Suppression for an Infrared Fourier Imaging Spectrometer

Ben,

Shen,

et al. 2024

Photonics

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Multi-Dimensional Fusion of Spectral and Polarimetric Images Followed by Pseudo-Color Algorithm Integration and Mapping in HSI Space

Guo,

Zhu,

Huang

et al. 2024

Remote Sensing

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Spectral–polarization imaging technology plays a crucial role in remote sensing detection, enhancing target identification and tracking capabilities by capturing both spectral and polarization information reflected from object surfaces. However, the acquisition of multi-dimensional data often leads to extensive datasets that necessitate comprehensive analysis, thereby impeding the convenience and efficiency of remote sensing detection. To address this challenge, we propose a fusion algorithm based on spectral–polarization characteristics, incorporating principal component analysis (PCA) and energy weighting. This algorithm effectively consolidates multi-dimensional features within the scene into a single image, enhancing object details and enriching edge features. The robustness and universality of our proposed algorithm are demonstrated through experimentally obtained datasets and verified with publicly available datasets. Additionally, to meet the requirements of remote sensing tracking, we meticulously designed a pseudo-color mapping scheme consistent with human vision. This scheme maps polarization degree to color saturation, polarization angle to hue, and the fused image to intensity, resulting in a visual display aligned with human visual perception. We also discuss the application of this technique in processing data generated by the Channel-modulated static birefringent Fourier transform imaging spectropolarimeter (CSBFTIS). Experimental results demonstrate a significant enhancement in the information entropy and average gradient of the fused image compared to the optimal image before fusion, achieving maximum increases of 88% and 94%, respectively. This provides a solid foundation for target recognition and tracking in airborne remote sensing detection.

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Hyperspectral Channel-Modulated Static Birefringent Fourier Transform Imaging Spectropolarimeter with Zoomable Spectral Resolution

Cited by 2 publications

References 46 publications

Stray Light Analysis and Suppression for an Infrared Fourier Imaging Spectrometer

Stray Light Analysis and Suppression for an Infrared Fourier Imaging Spectrometer

Multi-Dimensional Fusion of Spectral and Polarimetric Images Followed by Pseudo-Color Algorithm Integration and Mapping in HSI Space

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