The Instrument Design of Lightweight and Large Field of View High-Resolution Hyperspectral Camera

Fan, Xinghao; Liu, Chunyu; Liu, Shuai; Xie, Yongming; Zheng, LP; Wang, Tiancong; Feng, Qinping

doi:10.3390/s21072276

Cited by 7 publications

(5 citation statements)

References 20 publications

(25 reference statements)

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“…Integrated filters will become widely used devices for future space spectral imaging. 12 The indicator for measuring the integration degree of continuously variable filters is the linear dispersion coefficient. The larger the linear dispersion coefficient is, the more densely the operating wavelength is compressed, and the higher the degree of miniaturization.…”

Section: Introductionmentioning

confidence: 99%

“… – 11 As the spectral division method of space optical systems gradually evolves from system spectral division to focal plane integrated filter spectral division, the resolution becomes higher and the spectral band width becomes wider. Integrated filters will become widely used devices for future space spectral imaging 12 . The indicator for measuring the integration degree of continuously variable filters is the linear dispersion coefficient.…”

Section: Introductionmentioning

confidence: 99%

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Design of mask for depositing continuously variable filter

Gao,

Wei

2024

J. Nanophoton.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design of mask for depositing continuously variable filter

Gao,

Wei

2024

J. Nanophoton.

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“…Hyperspectral remote-sensing technology is capable of acquiring spatial and spectral three-dimensional data of targets [ 1 , 2 ], as well as analyzing targets’ structure and composition [ 3 , 4 ]. This technology offers significant advantages in target classification, identification and detection [ 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

Optical Design of a Hyperspectral Remote-Sensing System Based on an Image-Slicer Integral Field Unit in the Short-Wave Infrared Band

Ding,

Liu,

Zhang

et al. 2024

Sensors

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Grating-type spectral imaging systems are frequently employed in scenes for high-resolution remote-sensing observations of the Earth. However, the entrance of the grating-type spectral imaging system is a slit or a pinhole. This structure relies on the push broom method, which presents a challenge in capturing spectral information of transiently changing targets. To address this issue, the IFU is used to slice the focal plane of the telescope system, thereby expanding the instantaneous field of view (IFOV) of the grating-type spectral imaging system. The aberrations introduced by the expansion of the single-slice field of view (FOV) of the IFU are corrected, and the conversion of the IFU’s FOV from arcseconds to degrees is achieved. The design of a spectral imaging system based on an image-slicer IFU for remote sensing is finally completed. The system has a wavelength range of 1400 nm to 2000 nm, and a spectral resolution of better than 3 nm. Compared with the traditional grating-type spectral imaging system, its IFOV is expanded by a factor of four. And it allows for the capture of complete spectral information of transiently changing targets through a single exposure. The simulation results demonstrate that the system has good performance at each sub-slit, thereby validating the effectiveness and advantages of the proposed system for dynamic target capture in remote sensing.

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“…The low-cost devices reported the following characteristics. PHCs are composed of a frame detector to acquire spectral images into a specific field of view (FOV) expressed in degrees, which defines the spatial resolution of the instrument [ 27 , 30 ]. The spectral resolution is calculated by the full width at half maximum (FWHM) of the spectral sensor, where FWHM is defined as the width of a spectral band below which the signal would overlap [ 31 ].…”

Section: Introductionmentioning

confidence: 99%

A Novel Correction Methodology to Improve the Performance of a Low-Cost Hyperspectral Portable Snapshot Camera

Genangeli,

Avola,

Bindi

et al. 2023

Sensors

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The development of spectral sensors (SSs) capable of retrieving spectral information have opened new opportunities to improve several environmental and agricultural practices, e.g., crop breeding, plant phenotyping, land use monitoring, and crop classification. The SSs are classified as multispectral and hyperspectral (HS) based on the number of the spectral bands resolved and sampled during data acquisition. Large-scale applications of the HS remain limited due to the cost of this type of technology and the technical difficulties in hyperspectral data processing. Low-cost portable hyperspectral cameras (PHCs) have been progressively developed; however, critical aspects associated with data acquisition and processing, such as the presence of spectral discontinuities, signal jumps, and a high level of background noise, were reported. The aim of this work was to analyze and improve the hyperspectral output of a PHC Senop HSC-2 device by developing a general use methodology. Several signal gaps were identified as falls and jumps across the spectral signatures near 513, 650, and 930 nm, while the dark current signal magnitude and variability associated with instrumental noise showed an increasing trend over time. A data correction pipeline was successfully developed and tested, leading to 99% and 74% reductions in radiance signal jumps identified at 650 and 830 nm, respectively, while the impact of noise on the acquired signal was assessed to be in the range of 10% to 15%. The developed methodology can be effectively applied to other low-cost hyperspectral cameras.

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The Instrument Design of Lightweight and Large Field of View High-Resolution Hyperspectral Camera

Cited by 7 publications

References 20 publications

Design of mask for depositing continuously variable filter

Design of mask for depositing continuously variable filter

Optical Design of a Hyperspectral Remote-Sensing System Based on an Image-Slicer Integral Field Unit in the Short-Wave Infrared Band

A Novel Correction Methodology to Improve the Performance of a Low-Cost Hyperspectral Portable Snapshot Camera

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